Abdou I.E., Pratt W.K. Quantitative design and evaluation of enhancement/thresholding edge detectors. Proc. IEEE. 1979;67:753-763.

Abend K., Harley T., Kanal L.N. Classification of binary random patterns. IEEE Trans. Inf. Theory. 1965;11:538-544.

Abutaleb A.S. Automatic thresholding of gray-level pictures using two-dimensional entropy. Comput. Vision Graph. Image Process.. 1989;47:22-32.

Ade F. Characterization of texture by “eigenfilters”. Signal Process. 1983;5(No. 5):451-457.

Aggarwal J.K., Cai Q. Human motion analysis: a review. Computer Vision Image Understanding. 1999;73(no. 3):428-440.

Agin G.J., Binford T.O. Computer description of curved objects. Proc. 3rd. Int. Joint Conf. on Artif. Intell. Stanford, California. 1973:629-640.

Agin G.J., Binford T.O. Computer description of curved objects. IEEE Trans. Comput.. 1976;25:439-449.

Aguado A.S., Montiel M.E., Nixon M.S. On the intimate relationship between the principle of duality and the Hough transform. Proc. Roy. Soc.. 2000;456(no. 1995):503-526.

Akey M.L., Mitchell O.R. Detection and sub-pixel location of objects in digitized aerial imagery. Proc. 7th Int. Conf. on Pattern Recogn. Montreal (July 30–August 2). 1984:411-414.

Aleksander I., Thomas W.V., Bowden P.A. WISARD: A radical step forward in image recognition. Sensor Rev.. 1984;4:120-124.

Ali S.M., Burge R.E. A new algorithm for extracting the interior of bounded regions based on chain coding. Comput Vision Graph. Image Process.. 1988;43:256-264.

Almansa A., Desolneux A., Vamech S. Vanishing point detection without any a priori information. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 4):502-507.

Aloimonos J. Shape from texture. Biol. Cybern.. 1988;58:345-360.

Aloimonos J., Swain M.J. Shape from texture. Proc. 9th Int. Joint Conf. on Artif. Intell.. 1985;2:926-931.

Alter T.D. 3-D pose from 3 points using weak-perspective. IEEE Trans. Pattern Anal. Mach. Intell.. 1994;16(no. 8):802-808.

Ambler A.P., Barrow H.G., Brown C.M., Burstall R.M., Popplestone R.J. A versatile system for computer-controlled assembly. Artif. Intell.. 1975;6:129-156.

Amit Y. 2D Object Detection and Recognition: Models, Algorithms and Networks. Cambridge, MA: MIT Press; 2002.

Ando S. Image field categorization and edge/corner detection from gradient covariance. IEEE Trans. Pattern Anal. Mach. Intell.. 2000;22(no. 2):179-190.

Andrews D., Niehaus D., Ashenden P. Programming models for hybrid CPU/FPGA chips. IEEE Computer. 2004;37(no. 1):118-120.

Ankenbrandt C.A., Buckles B.P., Petry F.E. Scene recognition using genetic algorithms with semantic nets. Pattern Recogn. Lett.. 1990;11(no. 4):285-293.

Arcelli C., di Baja G.S. A width-independent fast-thinning algorithm. IEEE Trans. Pattern Anal. Mach. Intell.. 1985;7:463-474.

Arcelli C., Ramella G. Finding grey-skeletons by iterated pixel removal. Image Vision Comput.. 1995;13(no. 3):159-167.

Arcelli C., Cordella L.P., Levialdi S. Parallel thinning of binary pictures. Electronics Lett.. 1975;11:148-149.

Arcelli C., Cordella L.P., Levialdi S. From local maxima to connected skeletons. IEEE Trans. Pattern Anal. Mach. Intell.. 1981;3:134-143.

Arnold R.D. Local context in matching edges for stereo vision. Proc. Image Understanding Workshop. Cambridge, Massachusetts. 1978:65-72.

ström K. Fundamental limitations on projective invariants of planar curves. IEEE Trans. Pattern Anal. Mach. Intell.. 1995;17(no. 1):77-81.

Ataman E., Aatre V.K., Wong K.M. A fast method for real time median filtering. IEEE Trans. Acoust. Speech Signal Process.. 1980;28:415-420.

Atherton T.J., Kerbyson D.J. Size invariant circle detection. Image Vision Comput.. 1999;17(no. 11):795-803.

Atiquzzama M. Pipelined implementation of the multiresolution Hough transform in a pyramid multiprocessor. Pattern Recogn. Lett.. 1994;15(no. 9):841-851.

Atiquazzaman M., Akhtar M.W. Complete line segment description using the Hough transform. Image Vision Comput.. 1994;12(no. 5):267-273.

Aziz M., Boussakta S., McLernon D.C. High performance 2D parallel block-filtering system for real-time imaging applications using the Sharc ADSP21060. Real-Time Imaging. 2003;9(no. 2):151-161.

Babaud J., Witkin A.P., Baudin M., Duda R.O. Uniqueness of the Gaussian kernel for scale-space filtering. IEEE Trans. Pattern Anal. Mach. Intell.. 1986;8:26-33.

Backer E., editor. Special Issue on Artificial Neural Networks. Pattern Recogn. Lett. 1992;no. 5(13).

Bajcsy R. Computer identification of visual surface. Comput. Graph. Image Process. 1973;2:118-130.

Bajcsy R., Liebermann L. Texture gradient as a depth cue. Comput. Graph. Image Process. 1976;5(no. 1):52-67.

Baker S., Sim T., Kanade T. When is the shape of a scene unique given its light-field: a fundamental theorem of 3D vision? IEEE Trans. Pattern. Anal. Mach. Intell.. 2003;25(no. 1):100-109.

Baldi P., Hornik K. Neural networks and principal component analysis: learning from examples without local minima. Neural Networks. 1989;2:53-58.

Ball G.H., Hall D.J. ISODATA, an iterative method of multivariate data analysis and pattern classification. IEEE Int. Communications Conf., Philadelphia, Digest of Techn. Papers II. 1966:116-117.

Ballard D.H. Generalizing the Hough transform to detect arbitrary shapes. Pattern Recogn.. 1981;13:111-122.

Ballard D.H., Brown C.M. Computer Vision. Englewood Cliffs, NJ: Prentice-Hall; 1982.

Ballard D.H., Sabbah D. Viewer independent shape recognition. IEEE Trans. Pattern. Anal. Mach. Intell.. 1983;5:653-660.

Bangham J.A., Marshall S. Image and signal processing with mathematical morphology. IEEE Electronics and Commun. Eng. Journal. 1998;10(no. 3):117-128.

Barbe D.F. Imaging devices using the charge-coupled principle. Proc. IEEE. 1975;63:38-66.

Barker A.J., Brook R.A. A design study of an automatic system for on-line detection and classification of surface defects on cold-rolled steel strip. Optic Acta. 1978;25:1187-1196.

Barnard S. Interpreting perspective images. Artif. Intell.. 1983;21:435-462.

Barnard S.T., Thompson W.B. Disparity analysis of images. IEEE Trans. Pattern Anal. Mach. Intell.. 1980;2(no. 4):333-340.

Barnea D.I., Silverman H.F. A class of algorithms for fast digital image registration. IEEE Trans. Comput.. 1972;21:179-186.

Barrett E.B., Payton P.M., Haag N.N., Brill M.H. General methods for determining projective invariants in imagery. Computer Vision Graph. Image Process. 1991;53(no. 1):46-65.

Barrow H.G., Popplestone R.J. Relational descriptions in picture processing. Meltzer B., Michie D., editors. Machine Intelligence. Edinburgh: Edinburgh University Press; 1971;6:377-396.

Barrow H.G., Tenenbaum J.M. Computational vision. Proc. IEEE. 1981;69:572-595.

Barrow H.G., Ambler A.P., Burstall R.M. Some techniques for recognising structures in pictures. In: Watanabe S., editor. Frontiers of Pattern Recognition. New York: Academic Press; 1972:1-29.

Barsky S., Petrou M. The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadows. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 10):1239-1252.

Bartz M.R. The IBM 1975 optical page reader. IBM J. Res. Dev.. 1968;12:354-363.

Bascle B., Bouthemy P., Deriche R., Meyer F. Tracking complex primitives in an image sequence. Proc. 12th Int. Conf. on Pattern Recogn., Jerusalem, Israel (October 9–13). Vol. A. 1994:426-431.

Batchelor B.G. Using concavity trees for shape description. Comput. Digital Techniques. 1979;2:157-165.

Batchelor B.G. Intelligent Image Processing in Prolog. London: Springer-Verlag; 1991.

Chapter 1 in Graves and Batchelor (2003)Batchelor B.G. Like two peas in a pod. Intelligent Image Processing in Prolog. London: Springer-Verlag; 2003:1-33.

Batchelor B.G., Davies E.R., Graves M. Using X-rays to detect foreign bodies in food materials and packs. In: Edwards M., editor. Detecting Foreign Bodies in Food. Cambridge, UK: Woodhead Publishing Ltd, 2004.

Batchelor B.G., Hill D.A., Hodgson D.C. Automated Visual Inspection. Bedford, UK/North-Holland, Amsterdam: IFS (Publications) Ltd.; 1985.

Batlle J., Marti J., Ridao P., Amat J. A new FPGA/DSP-based parallel architecture for real-time image processing. Real-Time Imaging. 2002;8(no. 5):345-356.

Baumberg A., Hogg D. An adaptive eigenshape model. Proc. British Machine Vision Assoc. Conf. September. 1995:87-96.

Beaton A.E., Tukey J.W. The fitting of power series, meaning polynomials, illustrated on band-spectroscopic data. Technometrics. 1974;16(no. 2):147-185.

Beaudet P.R. Rotationally invariant image operators. Proc. 4th Int. Conf. on Pattern Recogn. Kyoto. 1978:579-583.

Beckers A.L.D., Smeulders A.W.M. A comment on “A note on ‘Distance transformations in digital images”. Comput. Vision Graph. Image Process.. 1989;47:89-91.

Beiden S.V., Maloof M.A., Wagner R.F. A general model for finite-sample effects in training and testing of competing classifiers. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 12):1561-1569.

Benke K.K., Skinner D.R. Segmentation of visually similar textures by convolution filtering. Australian Comput. J.. 1987;19(no. 3):134-139.

Bergholm F. Edge focusing. Proc. 8th Int. Conf. on Pattern. Recogn. Paris (October 27–31). 1986:597-600.

Berman S., Parikh P., Lee C.S.G. Computer recognition of two overlapping parts using a single camera. IEEE Comput.. 1985;March:70-80.

Bertozzi M., Broggi A. GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Trans. Image Process. 1998;7(no. 1):62-81.

Besl P.J., Jain R.C. Three-dimensional object recognition. Comput. Surveys. 1984;17:75-145.

Besl P.J., Birch J.B., Watson L.T. Robust window operators. Machine Vision and Applications. 1989;2:179-191.

Besl P.J., Delp E.J., Jain R. Automatic visual solder joint inspection. IEEE J. Robot. Automation. 1985;1:42-56.

Beun M., A flexible method for automatic reading of handwritten numerals. Philips Techn. Rev.. 1973;33:89-101. Beun M. A flexible method for automatic reading of handwritten numerals. Phillips Techn. Rev.. 1973;33:130-137.

Beynon J.D.E., Lamb D.R. Charge-coupled Devices and Their Applications. London: McGraw-Hill, 1980.

Bhanu B., Faugeras O.D. Segmentation of images having unimodal distributions. IEEE Trans. Pattern Anal Mach. Intell.. 1982;4:408-419.

Bhattacharya A.K., Roysam B. Joint solution of low, intermediate and highlevel vision tasks by evolutionary optimization: application to computer vision at low SNR. IEEE Trans. Neural Networks. 1994;5(no. 1):83-95.

Biberman L.M., Nudelman S. Photoelectronic Imaging Devices. Vol. 2 Devices and Their Evaluation. New York: Plenum Press, 1971.

Billingsley J., editor. Robots and Automated Manufacture. IEE Control Engineering Series. London: Peter Peregrinus Ltd; 1985;28.

Billingsley J., Schoenfisch M. Vision-guidance of agricultural vehicles. Autonomous Robots. 1995;2(no. 1):65-76.

Bishop C. Neural Networks for Pattern Recognition. Oxford: Oxford University Press; 1995.

Blake A., Yuille A. Active Vision. Cambridge, MA; London, England: MIT Press, 1992.

Blake A., Zisserman A., Knowles G. Surface descriptions from stereo and shading. Image Vision Comput.. 1985;3:183-191.

Bledsoe W.W., Browning I. Pattern recognition and reading by machine. Proc. Eastern Joint Comput. Conf. 1959:225-232.

Blostein D., Ahuja N. Shape from texture: integrating texture-element extraction and surface estimation. IEEE Trans. Pattern Anal. Mach. Intell.. 1989;11(no. 12):1233-1251.

Blum H. A transformation for extracting new descriptors of shape. In: Wathen-Dunn W., editor. Models for the Perception of Speech and Visual Form. Cambridge, MA: MIT Press; 1967:362-380.

Blum H., Nagel R.N. Shape description using weighted symmetric axis features. Pattern Recogn.. 1978;10:167-180.

Bober M., Kittler J. Estimation of complex multimodal motion: an approach based on robust statistics and Hough transform. Proc. 4th British Machine Vision Assoc. Conf., Univ. of Surrey (September 21–23). Vol. 1. 1993:239-248.

Boerner H., Strecker H. Automated X-ray inspection of aluminium castings. IEEE Trans. Pattern Anal. Mach. Intell.. 1988;10(no. 1):79-91.

Bolles R.C. Robust feature matching via maximal cliques. SPIE, 182. Proc. Technical Symposium on Imaging Applications for Automated Industrial Inspection and Assembly. Washington D.C. (April). 1979:140-149.

Bolles R.C., Cain R.A. Recognizing and locating partially visible objects: the local-feature-focus method. Int. J. Robot. Res.. 1982;1(no. 3):57-82.

Bolles R.C., Horaud R. 3DPO: a three-dimensional part orientation system. Int. J. Robot. Res.. 1986;5(no. 3):3-26.

Bors A.G., Hancock E.R., Wilson R.C. Terrain analysis using Radar shape-from-shading. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 8):974-992.

Boufama B., Mohr R., Morin L. Using geometric properties for automatic object positioning. Special Issue on Geometric Modelling and Invariants for Computer Vision. Image Vision Comput. 1998;no. 1(16):27-33.

Bourland H., Kamp Y. Auto-association by multilayer perceptrons and singular value decomposition. Biol. Cybern.. 1988;59:291-294.

Bovik A.C., Huang T.S., Munson D.C. A generalization of median filtering using linear combinations of order statistics. IEEE Trans. Acoustics, Speech Signal Process. 1983;31(no. 6):1342-1349.

Bovik A.C., Huang T.S., Munson D.C. The effect of median filtering on edge estimation and detection. IEEE Trans. Pattern Anal. Mach. Intell.. 1987;9:181-194.

Brady J.M., Wang H. Vision for mobile robots. Phil. Trans. R. Soc. (London). 1992;B337:341-350.

Brady J.M., Yuille A. An extremum principle for shape from contour. IEEE Trans. Pattern Anal. Mach. Intell.. 1984;6:288-301.

Brady M. Computational approaches to image understanding. Comput. Surveys. 1982;14:3-71.

Breiman L. Bagging predictors. Machine Learning. 1996;24(no. 2):123-140.

Bretschi J. Automated Inspection Systems for Industry. Bedford, UK: IFS Publications Ltd.; 1981.

Brink A.D. Thresholding of digital images using two-dimensional entropies. Pattern Recogn.. 1992;25:803-808.

Brivot R., Marchant J.A. Segmentation of plants and weeds for a precision crop protection robot using infrared images. IEE Proc. Vision Image Signal Process. 1996;143(no. 2):118-124.

Brodatz P. Textures: A Photographic Album for Artists and Designers. New York: Dover Publications; 1966.

Broggi A., Bertozzi M., Fascioli A. Architectural issues on vision-based automatic vehicle guidance: the experience of the ARGO project. Real-Time Imaging. 2000;6(no. 4):313-324.

Broggi A., Bertozzi M., Fascioli A., Sechi M. Shape-based pedestrian detection. Proc. IEEE Intell. Vehicles Symp. Dearborn (MI), USA (October 3–5). 2000:215-220.

Bron C., Kerbosch J. Algorithm 457: finding all cliques in an undirected graph [H]. Comm. ACM. 1973;16:575-577.

Brooks M.J. Locating intensity changes in digitised visual scenes. Computer Science Memo-15 (from M.Sc. thesis). University of Essex; 1976.

Brooks M.J. Rationalising edge detectors. Comput. Graph. Image Process.. 1978;8:277-285.

Brown C.M. Inherent bias and noise in the Hough transform. IEEE Trans. Pattern Anal. Mach. Intell.. 1983;5:493-505.

Brown C.M. Peak-finding with limited hierarchical memory. Proc. 7th Int. Conf. on Pattern Recogn. Montreal (July 30–August 2). 1984:246-249.

Brown J., Glazier E.V.D. 2nd edition. Telecommunications. London: Chapman and Hall; 1974.

Brown M.Z., Burschka D., Hager G.D. Advances in computational stereo. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 8):993-1008.

Browne A., Norton-Wayne L. Vision and Information Processing for Automation. New York: Plenum Press; 1986.

Bruckstein A.M. On shape from shading. Comput. Vision Graph. Image Process.. 1988;44:139-154.

Bryant D.J., Bouldin D.W. Evaluation of edge operators using relative and absolute grading. Proc. IEEE Comput. Soc. Conf. on Pattern Recogn. and Image Process. Chicago (May 31–June 2). 1979:138-145.

Bunke H. Error correcting graph matching: on the influence of the underlying cost function. IEEE Trans. Pattern Anal. Mach. Intell.. 1999;21(no. 9):917-922.

Bunke H., Shearer K. A graph distance metric based on the maximal common subgraph. Pattern Recogn. Lett.. 1998;19:255-259.

Burr D.J., Chien R.T. A system for stereo computer vision with geometric models. Proc. 5th Int. Joint Conf. on Artif. Intell. Boston. 1977:583.

Califano A., Mohan R. Multidimensional indexing for recognizing visual shapes. IEEE Trans. Pattern Anal. Mach. Intell.. 1994;16(no. 4):373-392.

Canny J. A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell.. 1986;8:679-698.

Cantoni V., Levialdi S. Matching the task to an image processing architecture. Comput. Vision Graph. Image Process.. 1983;22:301-309.

Chakravarty I., Freeman H. Characteristic views as a basis for three-dimensional object recognition. Proc. Soc. Photo-opt. Instrum. Eng. Conf. Robot Vision. 1982;336:37-45.

Chakravarty V.S., Kompella B. The shape of handwritten characters. Pattern Recogn. Lett.. 2003;24(no. 12):1901-1913.

Chan J.P., Batchelor B.G., Harris I.P., Perry S.J. Intelligent visual inspection of food products. Proc. SPIE Conf. on Machine Vision Systems in Industry. 1990;1386:171-179.

Chang S., Davis L.S., Dunn S.M., Eklundh J.-O., Rosenfeld A. Texture discrimination by projective invariants. Pattern Recogn. Lett.. 1987;5(no. 5):337-342.

Charles D., Davies E.R. Properties of the mode filter when applied to colour images. Proc. IEE Int. Conf. on Visual Information Engineering. VIE 2003, Surrey, July 7–9. IEE Conference Publication. 2003;495:101-104.

Charles D., Davies E.R. Distance-weighted median filters and their application to colour images. Proc. IEE Int. Conf. on Visual Information Engineering. VIE 2003, Surrey, July 7–9. IEE Conference Publication. 2003;495:117-120.

Charles D., Davies E.R. Mode filters and their effectiveness for processing colour images. Imaging Science Journal. 2004;52(no. 1):3-25.

Charniak E., McDermott D. Introduction to Artificial Intelligence. Reading, MA: Addison-Wesley; 1985.

Chasles M. Question no. 296. Nouv. Ann. Math.. 1855;14:50.

Chauduri B.B. Dynamic clustering for time incremental data. Pattern Recogn. Lett.. 1994;15(no. 1):27-34.

Chauduri S., Chatterjee S., Katz N., Nelson M., Goldbaum M. Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. Medical Imaging. 1989;8(no. 3):263-269.

Chen T.C. Parallelism, pipelining and computer efficiency. Comput. Design. 1971;January:69-74.

Cheng S.-C. Content-based image retrieval using moment-preserving edge detection. Image Vision Comput.. 2003;21(no. 9):809-826.

Chiang Y.P., Fu K.-S. Matching parallel algorithm and architecture. In: IEEE Proceedings of the International Conference on Parallel Processing. Columbus, Ohio, US: Computer Society Press; 1983:374-380.

Chittineni C.B. Efficient feature subset selection with probabilistic distance criteria. Inf. Sci.. 1980;22:19-35.

Chojnacki W., Brooks M.J., van den Hengel A., Gawley D. Revisiting Hartley’s normalized eight-point algorithm. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 9):1172-1177.

Chow C.K., Kaneko T. Automatic boundary detection of the left ventricle from cineangiograms. Comput. Biomed. Res.. 1972;5:388-410.

Choy S.S.O., Choy C.S.-T., Siu W.-C. New single-pass algorithm for parallel thinning. Comput. Vision Image Understanding. 1995;62(no. 1):69-77.

Christmas W.J., Kittler J., Petrou M. Structural matching in computer vision using probabilistic relaxation. IEEE Trans. Pattern Anal. Mach. Intell.. 1995;17(no. 8):749-764.

Cipolla R., Giblin P. Visual Motion of Curves and Surfaces. Cambridge, UK: Cambridge University Press; 2000.

Clark P., Mirmehdi M. Location and recovery of text on oriented surfaces. Proc. SPIE Conf. on Document Recognition and Retrieval VII (January). 2000;3967:267-277.

Clark P., Mirmehdi M. On the recovery of oriented documents from single images. Proc. Advanced Concepts for Intelligent Vision Systems (ACIVS). Ghent, Belgium (September 9–11). 2002:190-197.

Clerc M., Mallat S. The texture gradient equation for recovering shape from texture. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 4):536-549.

Clocksin W.F., Mellish C.S. Programming in Prolog. New York: Springer-Verlag; 1984.

Couerjolly D., Klette R. A comparative evaluation of length estimators of digital curves. IEEE Trans. Pattern Anal. Mach. Intell.. 2004;26(no. 2):252-258.

Cohen F.S., Cooper D.B. Simple parallel hierarchical and relaxation algorithms for segmenting noncausal Markovian, random fields. IEEE Trans. Pattern Anal. Mach. Intell.. 1987;9(no. 2):195-219.

Coleman G.B., Andrews H.C. Image segmentation by clustering. Proc. IEEE. 1979;67:773-785.

Collins R.T., Lipton A.J., Kanade T. Special Section on Video Surveillance. IEEE Trans. Pattern Anal. Mach. Intell. 2000;22. no. 8

Conners R.W., Harlow C.A. A theoretical comparison of texture algorithms. IEEE Trans. Pattern Anal. Mach. Intell.. 1980;2(no. 3):204-222.

Conners R.W., Harlow C.A. Toward a structural textural analyzer based on statistical methods. Comput. Graph. Image Process.. 1980;12:224-256.

Cook R.L., Torrance K.E. A reflectance model for computer graphics. ACM Trans. Graphics. 1982;1:7-24.

Cootes T.F., Taylor C.J., Cooper D.H., Graham J. Training models of shape from sets of examples. Proc. 3rd British Machine Vision Assoc. Conf. Leeds, (September 22–24). 1992:9-18.

Corneil D.G., Gottlieb C.C. An efficient algorithm for graph isomorphism. J. ACM. 1970;17:51-64.

Costa L. da F., Cesar R.M. Shape Analysis and Classification: Theory and Practice. Boca Raton, FL: CRC Press; 2000.

Cottrell G.W., Munro P., Zipser D. Learning internal representations from grey-scale images: an example of extensional programming. Proc. 9th Annual Conf. of the Cognitive Science Soc. Seattle (Erlbaum, Hillsdale). 1987:462-473.

Cowan G. Statistical Data Analysis. Oxford: Oxford University Press; 1998.

Crimmins T.R., Brown W.R. Image algebra and automatic shape recognition. IEEE Trans. Aerospace and Electronic Systems. 1985;21:60-69.

Cristianini N., Shawe-Taylor J. An Introduction to Support Vector Machines. Cambridge, UK: Cambridge University Press; 2000.

Cross A.D.J., Wilson R.C., Hancock E.R. Inexact graph matching with genetic search. Pattern Recogn.. 1997;30(no. 6):953-970.

Cross G.R., Jain A.K. Markov random field texture models. IEEE Trans. Pattern Anal. Mach. Intell.. 1983;5(no. 1):25-39.

Crowley J.L., Bobet P., Schmid C. Auto-calibration by direct observation of objects. Image Vision Comput.. 1993;11(no. 2):67-81.

Cucchiara R., Grana C., Piccardi M., Prati A. Detecting moving objects, ghosts, and shadows in video streams. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 10):1337-1342.

Cumani A., Guiducci A. Geometric camera calibration: the virtual camera approach. Machine Vision and Applications. 1995;8(no. 6):375-384.

Cybenko G. Continuous valued neural networks with two hidden layers are sufficient. Techn. Report. Medford, MA: Dept. of Comput. Sci., Tufts University; 1988.

Cybenko G. Approximation by superpositions of a sigmoidal function. Mathematics of Control, Signals and Systems. 1989;2(no. 4):303-314.

da Gama Leitão H.C., Stolfi J. A multiscale method for the reassembly of two-dimensional fragmented objects. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 9):1239-1251.

Danielsson P.-E. Getting the median faster. Comput. Graph. Image Process.. 1981;17:71-78.

Danielsson P.-E., Levialdi S. Computer architectures for pictorial information systems. IEEE Comput. (November). 1981;14:53-67.

Daugman J.G. High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell.. 1993;15:1148-1161.

Daugman J.G. Demodulation by complex-valued wavelets for stochastic pattern recognition. Int. J. of Wavelets, Multiresolution and Information Processing. 2003;1(no. 1):1-17.

Davies E.R. Image processing. In: Sumner F.H., editor. State of the Art Report: Supercomputer Systems Technology. Maidenhead: Pergamon Infotech; 1982:223-244.

Davies E.R. Image processing—its milieu, its nature and constraints on the design of special architectures for its implementation. In: Duff M.J.B., editor. Computing Structures for Image Processing. London: Academic Press; 1983:57-76.

Davies E.R. The median filter: an appraisal and a new truncated version. Proc. 7th Int. Conf. on Pattern Recogn. Montreal (July 30–August 2). 1984:590-592.

Davies E.R. Circularity—a, new principle underlying the design of accurate edge orientation operators. Image Vision Comput.. 1984;2:134-142.

and North-Holland, AmsterdamDavies E.R. Design of cost-effective systems for the inspection of certain food products during manufacture. Pugh A., editor. Proceedings of the 4th International Conference on Robot Vision and Sensory Controls. London (October 9–11). Bedford: IFS (Publications) Ltd.; 1984:437-446.

Davies E.R. A glance at image analysis—how the robot sees. Chartered Mech. Eng.. 1984;December:32-35.

Davies E.R. A comparison of methods for the rapid location of products and their features and defects. McKeown P.A., editor. Proceedings of the 7th International Conference on Automated Inspection and Product Control. Birmingham, AL (March 26–28). 1985:111-120.

Special Issue on Robotics. Davies E.R. Radial histograms as an aid in the inspection of circular objects. IEE Proc. D. 1985;132(4):158-163.

Davies E.R. Precise measurement of radial dimensions in automatic visual inspection and quality control—a new approach. Billingsley J., editor. Robots and Automated Manufacture. IEE Control Engineering Series 28. London: Peter Peregrinus Ltd.; 1985:157-171.

Davies E.R. Constraints on the design of template masks for edge detection. Pattern Recogn. Lett.. 1986;4:111-120.

Davies E.R. Corner detection using the generalised Hough transform. Proceedings of the 2nd International Conference on Image Processing and Its Applications. June 24–26. IEE Conf. Publ. 1986;265:175-179.

Davies E.R. Image space transforms for detecting straight edges in industrial images. Pattern Recogn. Lett.. 1986;4:185-192.

Davies E.R. Reduced parameter spaces for polygon detection using the generalised Hough transform. Proc. 8th Int. Conf. on Pattern Recogn. Paris (October 27–31). 1986:495-497.

Davies E.R. Methods for the rapid inspection of food products and small parts. McGeough J.A., editor. Proceedings of the 2nd International Conference on Computer-Aided Production Engineering. Edinburgh (April 13–15). 1987:105-110.

Davies E.R. Visual inspection, automatic (robotics). Meyers R.A., editor. Encyclopedia of Physical Science and Technology. Vol. 14. San Diego: Academic Press; 1987:360-377.

Davies E.R. A new framework for analysing the properties of the generalised Hough transform. Pattern Recogn. Lett.. 1987;6:1-7.

Davies E.R. A new parametrisation of the straight line and its application for the optimal detection of objects with straight edges. Pattern Recogn. Lett.. 1987;6:9-14.

Davies E.R. Design of optimal Gaussian operators in small neighbourhoods. Image Vision Comput.. 1987;5:199-205.

Davies E.R. Design of robust algorithms for automated visual inspection. Proc. R. Swedish Acad. Eng. Sci. Symp. on Machine Vision—the Eyes of Automation. Stockholm (August 27). IVA Rapp. 1987;336:55-81.

Davies E.R. Lateral histograms for efficient object location: speed versus ambiguity. Pattern Recogn. Lett.. 1987;6:189-198.

Davies E.R. The performance of the generalised Hough transform: concavities, ambiguities and positional accuracy. Proc. 3rd Alvey Vision Conf. Cambridge (September 15–17). 1987:327-333.

Davies E.R. Industrial vision systems: segmentation of gray-scale images. Encyclopedia of Systems and Control. Vol. 4. Oxford: Pergamon; 1987:2479-2484.

Davies E.R. Improved localisation in a generalised Hough scheme for the detection of straight edges. Image Vision Comput.. 1987;5:279-286.

Davies E.R. The effect of noise on edge orientation computations. Pattern Recogn. Lett.. 1987;6:315-322.

Davies E.R. A high speed algorithm for circular object location. Pattern Recogn. Lett.. 1987;6:323-333.

Davies E.R. Application of the generalised Hough transform to corner detection. IEE Proc. E. 1988;135:49-54.

Davies E.R. A modified Hough scheme for general circle location. Pattern Recogn. Lett.. 1988;7:37-43.

Davies E.R. On the noise suppression and image enhancement characteristics of the median, truncated median and mode filters. Pattern Recogn. Lett.. 1988;7:87-97.

Davies E.R. Median-based methods of corner detection. Kittler J., editor. Proceedings of the 4th BPRA International Conference on Pattern Recognition. Cambridge (March 28–30). Lecture Notes in Computer Science. Vol. 301. Heidelberg: Springer-Verlag; 1988:360-369.

Davies E.R. A hybrid sequential-parallel approach to accurate circle centre location. Pattern Recogn. Lett.. 1988;7:279-290.

Davies E.R. Training sets and a priori probabilities with the nearest neighbour method of pattern recognition. Pattern Recogn. Lett.. 1988;8:11-13.

Davies E.R. An alternative to graph matching for locating objects from their salient features. Proc. 4th Alvey Vision Conf. Manchester (August 31–September 2). 1988:281-286.

Davies E.R. Efficient image analysis techniques for automated visual inspection. Proc. Unicom Semin. on Comput. Vision and Image Process. London (November 29–December 1). 1988:1-19.

Davies E.R. Tradeoffs between speed and accuracy in two-stage template matching. Signal Process. 1988;15:351-363.

Davies E.R. Finding ellipses using the generalised Hough transform. Pattern Recogn. Lett.. 1989;9:87-96.

Davies E.R. Edge location shifts produced by median filters: theoretical bounds and experimental results. Signal Process. 1989;16:83-96.

Davies E.R. Minimising the search space for polygon detection using the generalised Hough transform. Pattern Recogn. Lett.. 1989;9:181-192.

Davies E.R. Occlusion analysis for object detection using the generalised Hough transform. Signal Process. 1989;16:267-277.

Davies E.R. Machine Vision: Theory, Algorithms, Practicalities. London: Academic Press; 1990.

Davies E.R. The minimal match graph and its use to speed identification of maximal cliques. Signal Process.. 1991;22(no. 3):329-343.

Davies E.R. Median and mean filters produce similar shifts on curved boundaries. Electronics Lett.. 1991;27(no. 10):826-828.

Davies E.R. Insight into operation of Kulpa boundary distance measure. Electronics Lett.. 1991;27(no. 13):1178-1180.

Davies E.R. Simple fast median filtering algorithm, with application to corner detection. Electronics Lett.. 1992;28(no. 2):199-201.

Davies E.R. Modelling peak shapes obtained by Hough transform. IEE Proc. E. 1992;139(no. 1):9-12.

Davies E.R. A skimming technique for fast accurate edge detection. Signal Process.. 1992;26(no. 1):1-16.

Davies E.R. Locating objects from their point features using an optimised Hough-like accumulation technique. Pattern Recogn. Lett.. 1992;13(no. 2):113-121.

Davies E.R. Procedure for generating template masks for detecting variable signals. Image Vision Comput.. 1992;10(no. 4):241-249.

Davies E.R. Accurate filter for removing impulse noise from one- or two-dimensional signals. IEE Proc. E. 1992;139(no. 2):111-116.

Davies E.R. Simple two-stage method for the accurate location of Hough transform peaks. IEE Proc. E. 1992;139(no. 3):242-248.

Davies E.R. A framework for designing optimal Hough transform implementations. Proc. 11th IAPR Int. Conf. on Pattern Recogn., The Hague (August 30–September 3). Vol. III. 1992:509-512.

Davies E.R. Electronics Noise and Signal Recovery. London: Academic Press; 1993.

Davies E.R. Computationally efficient Hough transform for 2-D object location. Proc. 4th British Machine Vision Assoc. Conf., Univ. of Surrey (September 21–23). Vol. 1. 1993:259-268.

Davies E.R. Machine vision in manufacturing—what are the real problems?. Proc. 2nd Int. Conf. on Mechatronics and Machine Vision in Practice. Hong Kong (September 12–14). 1995:15-24.

Davies E.R. 2nd edition. Machine Vision: Theory, Algorithms, Practicalities. London: Academic Press; 1997.

Davies E.R. Algorithms for inspection: constraints, tradeoffs and the design process. IEE Digest no. 1997/041, Colloquium on Industrial Inspection, IEE (February 10). 1997:6/1-6/5.

Davies E.R. Shifts produced by mode filters on curved intensity contours. Electronics Lett.. 1997;33(no. 5):381-382.

Davies E.R. Principles and design graphs for obtaining uniform illumination in automated visual inspection. Proc. 6th IEE Int. Conf. on Image Processing and its Applications. Dublin (July 14–17). IEE Conf. Publication no. 443. 1997:161-165.

Davies E.R. Designing efficient line segment detectors with high orientation accuracy. Proc. 6th IEE Int. Conf. on Image Processing and Its Applications. Dublin (July 14–17). IEE Conf. Publication no. 443. 1997:636-640.

Davies E.R. Lower bound on the processing required to locate objects in digital images. Electronics Lett.. 1997;33(no. 21):1773-1774.

Davies E.R. Vectorial strategy for designing line segment detectors with high orientation accuracy. Electronics Lett.. 1997;33(no. 21):1775-1777.

Davies E.R. Image distortions produced by mean, median and mode filters. IEE Digest no. 1998/284, Colloquium on Non-Linear Signal and Image Processing. IEE (May 22). 1998:6/1-6/5.

Davies E.R. Rapid location of convex objects in digital images. Proc. European Signal Processing Conf. (EUSIPCO’98). Rhodes, Greece (September 8–11). 1998:589-592.

Davies E.R. From continuum model to a detailed discrete theory of median shifts. Proc. European Signal Processing Conf. (EUSIPCO’98). Rhodes, Greece (September 8–11). 1998:805-808.

Davies E.R. Designing optimal image feature detection masks: equal area rule. Electronics Lett.. 1999;35(no. 6):463-465.

Davies E.R. Chord bisection strategy for fast ellipse location. Electronics Lett.. 1999;35(no. 9):703-705.

Davies E.R. Effect of foreground and background occlusion on feature matching for target location. Electronics Lett.. 1999;35(no. 11):887-889.

Davies E.R. High precision discrete model of median shifts. Proc. 7th IEE Int. Conf. on Image Processing and Its Applications. Manchester (July 13–15). IEE Conf. Publication. 1999:197-201. no. 465

Davies E.R. Algorithms for ultra-fast location of ellipses in digital images. Proc. 7th IEE Int. Conf. on Image Processing and Its Applications. Manchester (July 13–15). IEE Conf. Publication no. 465. 1999:542-546.

Davies E.R. Isotropic masks make efficient linear feature detectors. Electronics Lett.. 1999;35(no. 17):1450-1451.

Davies E.R. Image distortions produced by mean, median and mode filters. IEE Proc. Vision Image Signal Processing. 1999;146(no. 5):279-285.

Davies E.R. Image Processing for the Food Industry. Singapore: World Scientific; 2000.

Davies E.R. Obtaining optimum signal from set of directional template masks. Electronics Lett.. 2000;36(no. 15):1271-1272.

Davies E.R. Resolution of problem with use of closing for texture segmentation. Electronics Lett.. 2000;36(no. 20):1694-1696.

Davies E.R. Low-level vision requirements. Electron. Commun. Eng. J.. 2000;12(no. 5):197-210.

Davies E.R. Accuracy of multichannel median filter. Electronics Lett.. 2000;36(no. 25):2068-2069.

Davies E.R. A generalized model of the geometric distortions produced by rank-order filters. Imaging Science Journal. 2000;48(no. 3):121-130.

Davies E.R. Some problems in food and cereals inspection and methods for their solution. Proc. Int. Conf. on Quality Control by Artificial Vision—2001. Le Creusot, France (May 21–23). 2001:35-46.

Davies E.R. A sampling approach to ultra-fast object location. Real-Time Imaging. 2001;7(no. 4):339-355.

Chapter 7 inDavies E.R. Fundamentals of machine vision and their importance for real mechatronic applications. In: Cho H., editor. Opto-Mechatronic Systems Handbook. Boca Raton, FL: CRC Press; 2003:7.1-7.34.

Davies E.R. Truncating the Hough transform parameter space can be beneficial. Pattern Recogn. Lett.. 2003;24(nos. 1–3):129-135.

Davies E.R. Formulation of an accurate discrete theory of median shifts. Signal Process.. 2003;83:531-544.

Davies E.R. Design of real-time algorithms for food and cereals inspection. Imaging Science. 2003;51(no. 2):63-78.

Davies E.R. An analysis of the geometric distortions produced by median and related image processing filters. Advances in Imaging and Electron Physics. 2003;126:93-193.

Davies E.R., Barker S.P. An analysis of hole detection schemes. Proc. British Machine Vision Assoc. Conf. Oxford (September 24–27). 1990:285-290.

Davies E.R., Celano D. Orientation accuracy of edge detection operators acting on binary and saturated grey-scale images. Electronics Lett.. 1993;29(no. 7):603-604.

Davies E.R., Celano D. Analysis of skeleton junctions in 3×3 windows. Electronics Lett.. 1993;29(no. 16):1440-1441.

Davies E.R., Johnstone A.I.C. Engineering trade-offs in the design of a realtime system for the visual inspection of small products. Proceedings of the 4th Conference on UK Research in Advanced Manufacture (December 10–11). IMechE Conference Publications, London. 1986:15-22.

Davies E.R., Johnstone A.I.C. Methodology for optimising cost/speed tradeoffs in real-time inspection hardware. IEE Proc. E. 1989;136:62-69.

Davies E.R., Plummer A.P.N. A new method for the compression of binary picture data. Proc. 5th Int. Conf. on Pattern Recogn. Miami Beach, Florida (EEEE Comput. Soc.). 1980:1150-1152.

Davies E.R., Plummer A.P.N. Thinning algorithms: a critique and a new methodology. Pattern Recogn.. 1981;14:53-63.

Davies E.R., Ip H.H.S. Special Issue on Real-Time Visual Monitoring and Inspection. Real-Time Imaging. 1998;no. 5(4).

Davies E.R., Patel D., Johnstone A.I.C. Crucial issues in the design of a real-time contaminant detection system for food products. Real-Time Imaging. 1995;1(no. 6):397-407.

Davies E.R., Bateman M., Chambers J., Ridgway C. Hybrid nonlinear filters for locating speckled contaminants in grain. IEE Digest no. 1998/284, Colloquium on Non-Linear Signal and Image Processing. IEE (May 22). 1998:12/1-12/5.

Davies E.R., Mason D.R., Bateman M., Chambers J., Ridgway C. Linear feature detectors and their application to cereal inspection. Proc. European Signal Processing Conf. (EUSIPCO’98). Rhodes, Greece (September 8–11). 1998:2561-2564.

Davies E.R., Chambers J., Ridgway C. Combination linear feature detector for effective location of insects in grain images. Measurement Sci. Technology. 2002;13(no. 12):2053-2061.

Davies E.R., Bateman M., Mason D.R., Chambers J., Ridgway C. Design of efficient line segment detectors for cereal grain inspection. Pattern Recogn. Lett.. 2003;24(nos. 1–3):421-436.

Davies E.R., Chambers J., Ridgway C. Design of a real-time grain inspection system with high sensitivity for insect detection. Parkin R.M., Al-Habaibeh A., Jackson M.R. Proc. Int. Conf. on Mechatronics (ICOM 2003). Loughborough, (June 18–20). London and Bury St. Edmunds, UK: Professional Engineering Publishing; 2003:377-382.

Davies E.R., Ridgway C., Chambers J. NIR detection of grain weevils inside wheat kernels. Proc. IEE Int. Conf. on Visual Information Engineering. VIE 2003, Surrey, (July 7–9). IEE Conference Publication. 2003;495:173-176.

Davis L.S. Computing the spatial structure of cellular textures. Comput. Graph. Image Process.. 1979;11(no. 2):111-122.

Davison A.J., Murray D.W. Simultaneous localization and map-building using active vision. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 7):865-880.

de la Escalara A., Armingol J.Ma, M. Mata. Traffic sign recognition and analysis for intelligent vehicles. Image Vision Comput.. 2003;21(no. 3):247-258.

Deans S.R. Hough transform from the Radon transform. IEEE Trans. Pattern Anal. Mach. Intell.. 1981;3:185-188.

Delagnes P., Benois J., Barba D. Active contours approach to object tracking in image sequences with complex background. Pattern Recogn. Lett.. 1995;16(no. 2):171-178.

Deravi F., Pal S.K. Grey level thresholding using second-order statistics. Pattern Recogn. Lett.. 1983;1:417-422.

Derganc J., Likar B., Bernard R., Tomaevič D., Pernuš F. Real-time automated visual inspection of color tablets in pharmaceutical blisters. Real-Time Imaging. 2003;9(no. 2):113-124.

Derin H., Elliott H. Modelling and segmentation of noisy and textured images using Gibbs random fields. IEEE Trans. Pattern Anal. Mach. Intell.. 1987;9(no. 1):39-55.

DeSouza G.N., Kak A.C. Vision for mobile robot navigation: a survey. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 2):237-267.

Devijver P.A., Kittler J. On the edited nearest neighbour rule. Proc. 5th Int. Conf. on Pattern Recogn. Miami Beach, Florida (IEEE Comput. Soc.). 1980:72-80.

Devijver P.A., Kittler J. Pattern Recognition: A Statistical Approach. Englewood Cliffs, NJ: Prentice-Hall; 1982.

Dewaele P., Van Gool L., Wambacq P., Oosterlinck A. Texture inspection with self-adaptive convolution filters. Proc. 9th Int. Conf. on Pattern Recogn. 1988:56-60.

Dhome M., Rives G., Richetin M. Sequential piecewise linear segmentation of binary contours. Pattern Recogn. Lett.. 1983;2:101-107.

Dickinson S., Pelillo M., Zabih R. Special Section on Graph Algorithms and Computer Vision. 2001. IEEE Trans. Pattern Anal. Mach. Intell. 2001;23:1049-1151. no. 10

Dickmanns E.D., Mysliwetz B.D. Recursive 3-D road and relative ego-state recognition. IEEE Trans. Pattern Anal. Mach. Intell.. 1992;14(no. 2):199-213.

Dockstader S.L., Tekalp A.M. On the tracking of articulated and occluded video object motion. Real-Time Imaging. 2001;7(no. 5):415-432.

Dockstader S.L., Tekalp A.M. A kinematic model for human motion and gait analysis. Proc. Workshop on Statistical Methods in Video Processing (ECCV). Copenhagen, Denmark (June 1–2). 2002:49-54.

Dodd G.G., Rossol L. Computer Vision and Sensor-Based Robots. New York: Plenum Press, 1979.

Dorst L., Smeulders A.W.M. Length estimators for digitized contours. Comput. Vision Graph. Image Process.. 1987;40:311-333.

Dougherty E.R. An Introduction to Morphological Image Processing. Bellingham, MA: SPIE Press; 1992.

Dougherty E.R., Giardina C.R. Morphology on umbra matrices. Int. J. Pattern Recogn. and Artif. Intell.. 1988;2:367-385.

Dougherty E.R., Sinha D. Computational gray-scale mathematical morphology on lattices (a comparator-based image algebra). Part I: Architecture. Real-Time Imaging. 1995;1(no. 1):69-85.

Dougherty E.R., Sinha D. Computational gray-scale mathematical morphology on lattices (a comparator-based image algebra). Part II: Image operators. Real-Time Imaging. 1995;1(no. 4):283-295.

Doyle W. Operations useful for similarity-invariant pattern recognition. J. ACM. 1962;9:259-267.

Draper B.A., Beveridge J.R., Böhm A.P.W., Ross C., Chawathe M. Accelerated image processing on FPGAs. IEEE Trans. Image Processing. 2003;12(no. 12):1543-1551.

Dreschler L., Nagel H.-H. Volumetric model and 3D-trajectory of a moving car derived from monocular TV-frame sequences of a street scene. Proc. Int. Joint Conf. on Artif. Intell. 1981:692-697.

Du Buf J.M.H., Kardan M., Spann M. Texture feature performance for image segmentation. Pattern Recogn.. 1990;23:291-309.

Duda R.O., Hart P.E. Use of the Hough transformation to detect lines and curves in pictures. Comm. ACM. 1972;15:11-15.

Duda R.O., Hart P.E. Pattern Classification and Scence Analysis. New York: Wiley; 1973.

Duda R.O., Hart P.E., Stork D.G. Pattern Classification. New York: Wiley; 2001.

Dudani S.A., Luk A.L. Locating straight-line edge segments on outdoor scenes. Pattern Recogn.. 1978;10:145-157.

Dudani S.A., Breeding K.J., McGhee R.B. Aircraft identification by moment invariants. IEEE Trans. Comput.. 1977;26:39-46.

Duin R.P.W. The combining classifier: to train or not to train?. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. II. 2002:765-770.

Duin R.P.W., Haringa H., Zeelen R. Fast percentile filtering. Pattern Recogn. Lett.. 1986;4:269-272.

Dyer C.R., Rosenfeld A. Fourier texture features: suppression of aperture effects. IEEE Trans. Systems Man Cybern.. 1976;6(no. 10):703-705.

Edmonds J.M., Davies E.R. High-speed processor for realtime visual inspection. Microprocessors and Microsystems. 1991;15(no. 1):11-19.

Eichmann G., Kasparis T. Topologically invariant texture descriptors. Comput. Vision Graph. Image Process.. 1988;41:267-281.

Eisberg R.M. Fundamentals of Modern Physics. New York: Wiley; 1961.

Ellis T.J., Abbood A., Brillault B. Ellipse detection and matching with uncertainty. Image Vision Comput.. 1992;10(no. 5):271-276.

Fasel B. Robust face analysis using convolutional neural networks. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. II. 2002:40-43.

Fathy M., Siyal M.Y. Real-time image processing approach to measure traffic queue parameters. IEE Proc. Vision Image Signal Process.. 1995;142(no. 5):297-303.

Faugeras O.D. Texture analysis and classification using a human visual model. Proc. 4th Int. Joint conf. on Pattern Recogn. Kyoto, (November 7–10). 1978:549-552.

Faugeras O. What can be seen in three dimensions with an uncalibrated stereo rig?. Sandini G., editor. Proc. 2nd European conf. on Computer Vision. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer-Verlag; 1992;588:563-578.

Faugeras O. Three-Dimensional Computer Vision—a Geometric Viewpoint. Cambridge, MA: MIT Press; 1993.

Faugeras O.D., Hebert M. A 3-D recognition and positioning algorithm using geometrical matching between primitive surfaces. Proc. 8th Int. Joint Conf. on Artif. Intell. 1983:996-1002.

Faugeras O., Luong Q.-T. The Geometry of Multiple Images. Cambridge, MA: MIT press; 2001.

Faugeras O., Luong Q.-T., Maybank S.J. Camera self-calibration: theory and experiments. Sandini G., editor. Proc. 2nd European Conf. on Computer Vision. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer-Verlag; 1992;588:321-334.

Faugeras O., Quan L., Sturm P. Self-calibration of a 1D projective camera and its application to the self-calibration of a 2D projective camera. IEEE Trans. Pattern Anal. Mach. Intell.. 2000;22(no. 10):1179-1185.

Feng T.-Y. A survey of interconnection networks. IEEE Comput.. 1981;14:12-17.

Ferrie F.P., Levine M.D. Where and why local shading analysis works. IEEE Trans. Pattern Anal. Mach. Intell.. 1989;11:198-206.

Fesenkov V.P. Photometric investigations of the lunar surface. Astronomochhesk. Zh.. 1929;5:219-234.

Fischer B., Buhmann J.M. Bagging for path-based clustering. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 11):1411-1415.

Fischler M.A., Bolles R.C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM. 1981;24(no. 6):381-395.

Fish R.K., Ostendorf M., Bernard G.D., Castanon D.A. Multilevel classification of milling tool wear with confidence estimation. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 1):75-85.

Fitch J.P., Coyle E.J., Gallagher N.C. Root properties and convergence rates of median filters. IEEE Trans. Acoust. Speech Signal Process.. 1985;33:230-239.

Flynn M.J. Some computer organizations and their effectiveness. IEEE Trans. Comput.. 1972;21:948-960.

Föglein J. On edge gradient approximations. Pattern Recogn. Lett.. 1983;1:429-434.

Forgy E.W. Cluster analysis of multivariate data: efficiency versus interpretability of classification. Biometrics. 1965;21:768-769.

Forsyth D.A., Ponce J. Computer Vision: A Modern Approach. Upper Saddle Revier, NJ: Pearson Education International; 2003.

Forsyth D.A., Mundy J.L., Zisserman A., Coelho C., Heller A., Rothwell C.A. Invariant descriptors for 3-D object recognition and pose. IEEE Trans. Pattern Anal. Mach. Intell.. 1991;13(no. 10):971-991.

Forsyth R.S. Pascal at Work and Play. London: Chapman and Hall; 1982.

Foster J.P., Nixon M.S., Prugel-Bennett A. New area based metrics for automatic gait recognition. Proc. British Machine Vision Assoc. conf. 2001:233-242.

Fountain T. Processor Arrays: Architectures and Applications. London: Academic Press; 1987.

Frankot R.T., Chellappa R. Estimation of surface topography from SAR imagery using shape from shading techniques. Artif. Intell.. 1990;43:271-310.

Freeman H. On the encoding of arbitrary geometric configurations. IEEE Trans. Electron. Comput.. 1961;10:260-268.

Freeman H. Computer processing of line drawing images. Comput. Surveys. 1974;6:57-97.

Freeman H. Shape description via the use of critical points. Pattern Recogn.. 1978;10:159-166.

Frei W., Chen C.-C. Fast boundary detection: a generalization and a new algorithm. IEEE Trans. Comput.. 1977;26:988-998.

Freund Y., Schapire R. Experiments with a new boosting algorithm. Proc. 13th Int. Conf. on Machine Learning. 1996:148-156.

Fu K.-S., Mui J.K. A survey on image segmentation. Pattern Recogn.. 1981;13:3-16.

Gallagher N.C., Wise G.L. A theoretical analysis of the properties of median filters. IEEE Trans. Acoust. Speech Signal Process.. 1981;29:1136-1141.

Garcia C., Delakis M. A neural architecture for fast and robust face detection. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. II. 2002:44-47.

Grding J. Properties of fractal intensity surfaces. Pattern Recogn. Lett.. 1988;8(no. 5):319-324.

Gavrila D. The visual analysis of human movement: a survey. Computer Vision Image Understanding. 1999;73(no. 1):82-98.

Gavrila D. Pedestrian detection from a moving vehicle. Vernon D., editor. Proc. European Conf. on Computer Vision. Dublin, Ireland (June). 2000:37-49.

Gavrila D.M., Groen F.C.A. 3D object recognition from 2D images using geometric hashing. Pattern Recogn. Lett.. 1992;13(no. 4):263-278.

Geiger D., Liu T.-L., Kohn R.V. Representation and self-similarity of shapes. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 1):86-99.

Gelsema E.S., editor. Special Issue on Genetic Algorithms. Pattern Recogn. Lett. 1994;no. 8(16).

Geman D. Stochastic model for boundary detection. Image Vision Comput.. 1987;5(no. 2):61-65.

Geman S., Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell.. 1984;6(no. 6):721-741.

Gerig G., Klein F. Fast contour identification through efficients Hough transform and simplified interpretation strategy. Proc. 8th Int. Conf. on Pattern Recogn. Paris (October 27–31). 1986:498-500.

Ghosh A., Pal S.K. Neural network, self-organisation and object extraction. Pattern Recogn. Lett.. 1992;13(no. 5):387-397.

Gibbons A. Algorithmic Graph Theory. Cambridge, UK: Cambridge University Press; 1985.

Giblin P.J., Kimia B.B. On the intrinsic reconstruction of shape from its symmetries. IEEE Trans. Pattern Anal. Mach. Intell. 2003;25(no. 7):895-911.

Gibson J.J. The Perception of the Visual World. Boston, MA: Houghton Mifflin; 1950.

Gil J., Kimmel R. Efficient dilation, erosion, opening, and closing algorithms. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 12):1606-1617.

Godbole S., Amin A. Mathematical morphology for edge and overlap detection for medical images. Real-Time Imaging. 1995;1(no. 3):191-201.

Goetcherian V. From binary to grey tone image processing using fuzzy logic concepts. Pattern Recogn.. 1980;12:7-15.

Golightly I., Jones D. Corner detection and matching for visual tracking during power line inspection. Image Vision Comput.. 2003;21(no. 9):827-840.

Golub G.H., van Loan C.F. Matrix Computations. Oxford, UK: North Oxford; 1983.

Gong S., McKenna S., Psarrou A. Dynamic Vision: From Images to Face Recognition. London, UK: Imperical College Press; 2000.

Gonnet G.H. Handbook of Algorithms and Data Structures. London: Addison-Wesley; 1984.

Gonzalez R.C., Wintz P. 2nd edition. Digital Image Processing. Reading, MA: Addison-Wesley; 1987.

Gonzalez R.C., Woods R.E. Digital Image Processing. Reading, MA: Addison-Wesley; 1992.

16Goulermas J.Y., Liatsis P. Genetically fine-tuning the Hough transform feature space, for the detection of circular objects. Davies E.R., Atiquzzaman M. Special Issue on Projection-Based Transforms, Image Vision Comput. 1998:615-626. nos. 9–10

Granlund G.H. Description of texture using the general operator approach. Proc. 5th Int. Conf. on Pattern Recogn. Miami Beach, Florida (December 1–4). 1980:776-779.

Graves M., Batchelor B.G. Machine Vision Techniques for Inspecting Natural Products. London: Springer Verlag, 2003.

Graves M., Batchelor B.G., Palmer S. 3D X-ray inspection of food products. Proc. SPIE Conf. on Applications of Digital Image Process 17. Vol. 2298. 1994:248-259.

Greenhill D., Davies E.R. Texture analysis using neural networks and mode filters. Proc. 4th British Machine Vision Assoc. Conf., Univ. of Surrey (September 21–23). Vol. 2. 1993:509-518.

Greenhill D., Davies E.R. Relative effectiveness of neural networks for image noise suppression. In: Gelsema E.S., Kanal L.N. Pattern Recognition in Practice, IV. Elsevier, Science B.V.; 1994:367-378.

Greenhill D., Davies E.R. How do neural networks compare with standard filters for image noise suppressions?. IEE Digest no. 1994/248, Colloquium on Applications of Neural Networks to Signal Processing. IEE (December 15). 1994:3/1-3/4.

Greenhill D., Davies E.R. A new approach to the determination of unbiased thresholds for image segmentation. 5th Int. IEE Conf. on Image Processing and Its Applications. Heriot-Watt University (July 3–6). IEE Conf. Publication. 1995:519-523. no. 410

Gregory R.L. The Intelligent Eye. London: Weidenfeld and Nicolson; 1971.

Gregory R.L. 2nd edition. Eye and Brain. London: Weidenfeld and Nicolson; 1972.

Grimson W.E.L., Huttenlocher D.P. On the sensitivity of the Hough transform for object recognition. IEEE Trans. Pattern Anal. Mach. Intell.. 1990;12(no. 3):255-274.

Grimson W.E.L., Lozano-Perez T. Model-based recognition and localisation from sparse range or tactile data. Int. J. Robot. Res.. 1984;3(no. 3):3-35.

Gruen A., Huang T.S. Calibration and Orientation of Cameras in Computer Vision. Berlin, Heidelberg: Springer-Verlag, 2001.

Guiducci A. Parametric model of the perspective projection of a road with applications to lane keeping and 3d road reconstruction. Computer Vision Image Understanding. 1999;73:414-427.

Guru D.S., Shekar B.H., Nagabhushan P. A simple and robust line detection algorithm based on small eigenvalue analysis. Pattern Recogn. Lett.. 2004;25(no. 1):1-13.

Hall E.L. Computer Image Processing and Recognition. New York: Academic Press; 1979.

Hall E.L., Tio J.B.K., McPherson C.A., Sadjadi F.A. Measuring curved surfaces for robot vision. IEEE Comput.. 1982;15(no. 12):42-54.

Hampel F.R., Ronchetti E.M., Rousseeuw P.J., Stahel W.A. Robust Statistics: The Approach Based on Influence Functions. New York: Wiley; 1986.

Hannah I., Patel D., Davies E.R. The use of variance and entropic thresholding methods for image segmentation. Pattern Recognition. 1995;28(no. 8):1135-1143.

Hansen F.R., Elliott H. Image segmentation using simple Markov field models. Comput. Graph. Image Process.. 1982;20:101-132.

Haralick R.M. Statistical and structural approaches to texture. Proc. IEEE. 1979;67(no. 5):786-804.

Haralick R.M. Edge and region analysis for digital image data. Comput. Graph. Image Process.. 1980;12:60-73.

Haralick R.M. Digital step edges from zero crossing of second directional derivatives. IEEE Trans. Pattern Anal. Mach. Intell.. 1984;6:58-68.

Haralick R.M. Determining camera parameters from the perspective projection of a rectangle. Pattern Recogn.. 1989;22:225-230.

Haralick R.M. Performance characterization in image analysis: Thinning, a case in point. Pattern Recogn. Lett.. 1992;13:5-12.

Haralick R.M., Chu Y.H. Solving camera parameters from the perspective projection of a parameterized curve. Pattern Recogn.. 1984;17(no. 6):637-645.

Haralick R.M., Joo H. 2D-3D pose estimation. Proc. 9th Int. Conf. on Pattern Recogn. Rome, Italy (November 14–17). 1988:385-391.

Haralick R.M., Shapiro L.G. Image segmentation techniques. Comput Vision Graph. Image Process.. 1985;29:100-132.

Haralick R.M., Shapiro L.G. Computer and Robot Vision. Volume I. Reading, MA: Addison-Wesley; 1992.

Haralick R.M., Shapiro L.G. Computer and Robot Vision. Volume II. Reading, MA: Addison-Wesley; 1993.

Haralick R.M., Chu Y.H., Watson L.T., Shapiro L.G. Matching wire frame objects from their two dimensional perspective projections. Pattern Recogn.. 1984;17(no. 6):607-619.

Haralick R.M., Shanmugam K., Dinstein I. Textural features for image classification. IEEE Trans. Systems Man Cybern.. 1973;3(no. 6):610-621.

Haralick R.M., Sternberg S.R., Zhuang X. Image analysis using mathematical morphology. IEEE Trans. Pattern Anal. Mach. Intell.. 1987;9(no. 4):532-550.

Haritaoglu I., Harwood D., Davis L.S. W⁴: Real-time surveillance of people and their activities. In Special Section on Video Surveillance. IEEE Trans. Pattern Anal. Mach. Intell.. 2000;22(no. 8):809-830.

Harris C., Stephens M. A combined conrer and edge detector. Proc. 4th Alvey Vision Conf. 1988:147-151.

Hart P.E. The condensed nearest neighbour rule. IEEE Trans. Inf. Theory. 1968;14:515-516.

Hartley R., Zisserman A. Multiple View Geometry in Computer Vision. Cambridge, UK: Cambridge University Press; 2000.

Hartley R.I. Estimation of relative camera positions for uncalibrated cameras. Sandini G., editor. Proc. 2nd European Conf. on Computer Vision. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer-Verlag; 1992;588:579-587.

Hartley R.I. A linear method for reconstruction from lines and points. Proc. Int. Conf. on Computer Vision. 1995:882-887.

Hartley R.I. In defense of the eight-point algorithm. IEEE Trans. Pattern Anal. Mach. Intell.. 1997;19(no. 6):580-593.

Harvey N.R., Marshall S. Using genetic algorithms in the design of morphological filters. IEE Colloqium on Genetic Algorithms in Image Processing and Vision. IEE (October 20). IEE Digest no. 1994/193. 1994:6/1-6/5.

Harvey N.R., Marshall S. Rank-order morphological filters: a new class of filters. Proc. IEEE Workshop on Nonlinear Signal and Image Processing. Halkidiki Greece (June). 1995:975-978.

Harwood D., Subbarao M., Davis L.S. Texture classification by local rank correlation. Comput. Vision Graph. Image Process.. 1985;32:404-411.

Hasler D., Sbaiz L., Süsstrunk S., Vetterli M. Outlier modelling in image matching. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 3):301-315.

Haykin S. 2nd edition. Neural Networks: A Comprehensive Introduction. Prentice-Hall, NJ: Upper Saddle River; 1999.

Hebb D.O. The Organization of Behavior. New York: Wiley; 1949.

Heijmans H. Theoretical aspects of gray-level morphology. IEEE Trans. Pattern Anal. Mach. Intell.. 1991;13:568-582.

Heijmans H. Morphological Operators. New York: Academic Press; 1994.

Heikkilä J. Geometric camera calibration using circular control points. IEEE Trans. Pattern Anal. Mach. Intell.. 2000;22(no. 10):1066-1076.

Heikkonen J. Recovering 3-D motion parameters from optical flow field using randomized Hough transform. Pattern Recogn. Lett.. 1995;16(no. 9):971-978.

Heinemann P.H., Varghese Z.A., Morrow C.T., Sommer H.J.III, Crassweller R.M. Machine vision inspection of “Golden Delicious” apples. Appl. Eng. Agric.. 1995;11(no. 6):901-906.

Heinonen P., Neuvo Y. FIR-median hybrid filters. IEEE Trans. Acoust. Speech Signal Process.. 1987;35:832-838.

Henderson T.C. A note on discrete relaxation. Comput. Vision Graph. Image Process.. 1984;28:384-388.

Herault L., Horaud R., Veillon F., Niez J.J. Symbolic image matching by simulated annealing. Proc. British Machine Vision Assoc. Conf. 1990:319-324.

Hertz J., Krogh A., Palmer R.G. Introduction to the Theory of Neural Computation. Reading, MA: Addison-Wesley; 1991.

Hildreth E.C. Measurement of Visual Motion. Cambridge, MA: MIT Press; 1984.

Hill A., Taylor C.J. Model-based image interpretation using genetic algorithms. Image Vision Comput.. 1992;10(no. 5):295-300.

Hlaoui A., Wang S. A new algorithm for inexact graph matching. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. IV. 2002:180-183.

Ho T.K., Hull J.J., Srihari S.N. Decision combination in multiple classifier systems. IEEE Trans. Pattern Anal. Mach. Intell.. 1994;16(no. 1):66-75.

Hockney R.W., Jesshope C.R. Parallel Computers. Bristol: Adam Hilger Ltd.; 1981.

Hodgson R.M., Bailey D.G., Naylor M.J., Ng A.L.M., McNeil S.J. Properties, implementations, and applications of rank filters. Image Vision Comput.. 1985;3:4-14.

Hofmann U., Rieder A., Dickmanns E.D. Radar and vision data fusion for hybrid adaptive cruise control on highways. Machine Vision and Applications. 2003;14(no. 1):42-49.

Hogg D. Model-based vision: a program to see a walking person. Image Vision Comput.. 1983;1(no. 1):5-20.

Holland J.H. Adaptation in Natural and Artificial Systems. Ann Arbor, MI: Univ. of Michigan Press; 1975.

Hollinghurst N., Cipolla R. Uncalibrated stereo hand-eye coordination. Image Vision Comput.. 1994;12(no. 3):187-192.

Horaud R. New methods for matching 3-D objects with single perspective views. IEEE Trans. Pattern Anal. Mach. Intell.. 1987;9:401-412.

Horaud R., Brady M. On the geometric interpretation of image contours. Artif. Intell.. 1988;37:333-353.

Horaud R., Sossa H. Polyhedral object recognition by indexing. Pattern Recogn.. 1995;28(no. 12):1855-1870.

Horaud R., Conio B., Leboulleux O., Lacolle B. An analytic solution for the perspective 4-point problem. Comput. Vision Graph. Image Process.. 1989;47:33-44.

Horn B.K.P. Obtaining shape from shading information. In: P.H. Winston, editor. The Psychology of Computer Vision. New York: McGraw-Hill; 1975:115-155.

Horn B.K.P. Understanding image intensities. Artif. Intell.. 1977;8:201-231.

Horn B.K.P. Robot Vision. Cambridge, MA: MIT Press; 1986.

Horn B.K.P., Brooks M.J. The variational approach to shape from shading. Comput. Vision Graph. Image Process.. 1986;33:174-208.

Horn B.K.P., Brooks M.J. Shape from Shading. Cambridge, MA: MIT Press, 1989.

Horn B.K.P., Schunck B.G. Determining optical flow. Artif. Intell.. 1981;17(nos. 1–3):185-203.

Horng J.-H. An adaptive smoothing approach for fitting digital planar curves with line segments and circular arcs. Pattern Recogn. Lett.. 2003;24(nos. 1–3):565-577.

Hornik K., Stinchcombe M., White H. Multilayer feedforward networks are universal approximators. Neural Networks. 1989;2:359-366.

Horowitz S.L., Pavlidis T. Picture segmentation by a directed split-and-merge procedure. Proc. 2nd Int. Joint Conf. on Pattern Recogn. 1974:424-433.

US Patent 3069654Hough P.V.C. Method and means for recognising complex patterns. 1962.

Hsiao J.Y., Sawchuk A.A. Supervised textured image segmentation using feature smoothing and probabilistic relaxation techniques. IEEE Trans. Pattern Anal. Mach. Intell.. 1989;11(no. 12):1279-1292.

Hsiao J.Y., Sawchuk A.A. Unsupervised textured image segmentation using feature smoothing and probabilistic relaxation techniques. Comput. Vision Graph. Image Process.. 1990;48:1-21.

Hu M.K. Pattern recognition by moment invariants. Proc. IEEE. 1961;49:1428.

Hu M.K. Visual pattern recognition by moment invariants. IRE Trans. Inf. Theory. 1962;8:179-187.

Huang C.T., Mitchell O.R. A Euclidean distance transform using greyscale morphology decomposition. IEEE Trans. Pattern Anal. Mach. Intell.. 1994;16(no. 4):443-448.

Huang T.S., editor. Image Sequence Processing and Dynamic Scene Analysis. New York: Springer-Verlag, 1983.

Huang T.S., Bruckstein A.M., Holt R.J., Netravali A.N. Uniqueness of 3D pose under weak perspective: a geometrical proof. IEEE Trans. Pattern Anal. Mach. Intell.. 1995;17(no. 12):1220-1221.

Huang T.S., Yang G.J., Tang G.Y. A fast two-dimensional median filtering algorithm. IEEE Trans. Acoust. Speech Signal Process.. 1979;27:13-18.

Hubel D.H. Eye, Brain and Vision. New York: Scientific American Library; 1995.

Huber P.J. Robust estimation of a location parameter. Annals Math. Statist.. 1964;35:73-101.

Huber P.J. Robust Statistics. New York: Wiley; 1981.

Huber P.J. Projection pursuit. Annals Statist.. 1985;13(no. 2):435-475.

Hueckel M.F. An operator which locates edges in digitised pictures. J. ACM. 1971;18:113-125.

Hueckel M.F. A local visual operator which recognises edges and lines. J. ACM. 1973;20:634-647.

Hufnagl C., Uhl A. Algorithms for fractal image compression on massively parallel SIMD arrays. Real-Time Imaging. 2000;6(no. 4):267-281.

Hughes G.F. On the mean accuracy of statistical pattern recognisers. IEEE Trans. Inf. Theory. 1968;14:55-63.

Hummel R.A., Zucker S.W. On the foundations of relaxation labelling processes. IEEE Trans. Pattern Anal. Mach. Intell.. 1983;5:267-287.

Hush D.R., Horne B.G. Progress in supervised neural networks. IEEE Signal Processing Magazine. 1993;10(no. 1):8-39.

Hussain Z. A fast approximation to a convex hull. Pattern Recogn. Lett.. 1988;8:289-294.

Hussmann S., Ho T.H. A high-speed subpixel edge detector implementation inside a FPGA. Real-Time Imaging. 2003;9(no. 5):361-368.

Huttenlocher D.P., Klanderman G.A., Rucklidge W.J. Comparing images using the Hausdorff distance. IEEE Trans. Pattern Anal. Mach. Intell.. 1993;15(no. 9):850-863.

Hwang K., Briggs F.A. Computer Architecture and Parallel Processing. New York: McGraw-Hill; 1984.

Hwang V.S., Davis L.S., Matsuyama T. Hypothesis integration in image understanding systems. Comput. Vision Graph. Image Process.. 1986;36:321-371.

Iannino A., Shapiro S.D. An iterative generalisation of the Sobel edge detection operator. Proc. IEEE Comput. Soc. Conf. on Pattern Recogn. and Image Process. Chicago (May 31–June 2). 1979:130-137.

IBM. Cluster estimation in Hough space for image analysis. IBM Techn. Disclosure Bull.. 1986;28:3667-3668.

IEE. IEE Colloquium on Genetic Algorithms in Image Processing and Vision. 1994. IEE (October 20), IEE Digest no. 1994/193. 1994.

Ikeuchi K., Horn B.K.P. Numerical shape from shading and occluding boundaries. Artif. Intell.. 1981;17:141-184.

Illingworth J., Kittler J. The adaptive Hough transform. IEEE Trans. Pattern Anal. Mach. Intell.. 1987;9:690-698.

Illingworth J., Kittler J. A survey of the Hough transform. Comput. Vision Graph. Image Process.. 1988;44:87-116.

Inmos Ltd. The Transputer Family 1987. Bristol: Inmos Ltd.; 1987.

Inmos Ltd. OCCAM 2 Reference Manual. London: Prentice-Hall; 1988.

Ising E. Z. Physik. 1925;31:253.

Ito M., Ishii A. Three-view stereo analysis. IEEE Trans. Pattern Anal. Mach. Intell.. 1986;8(no. 4):524-532.

Jacinto C.N., Arnaldo J.A., George S.M. Using middle level features for robust shape tracking. Pattern Recogn. Lett.. 2003;24:295-307.

Jackway P.T., Deriche M. Scale-space properties of the multiscale morphological dilation-erosion. IEEE Trans. Pattern Anal. Mach. Intell.. 1996;18(no. 1):38-51.

Jähne B., Haussecker H. Computer Vision and Applications. New York: Academic Press, 2000.

Jain A.K., Dubes R.C. Algorithms for Clustering Data. Englewood Cliffs, NJ: Prentice-Hall; 1988.

Jain A.K., Farrokhnia F. Unsupervised texture segmentation using Gabor filters. Pattern Recogn.. 1991;24:1167-1186.

Jain A.K., Duin R.P.W., Mao J. Statistical Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell.. 2000;22(no. 1):4-37.

Jain R. Direct computation of the focus of expansion. IEEE Trans. Pattern Anal. Mach. Intell.. 1983;5:58-63.

Jain R.C., Binford T.O. Ignorance, myopia and naiveté in computer vision systems. Computer Vision Graph. Image Process.: Image Understanding. 1991;53:112-117.

Jang J.-H., Hong K.-S. Detection of curvilinear structures using the Euclidean distance transform. Proc. IAPR Workshop on Machine Vision Applications (MVA’98). Chiba, Japan. 1998:102-105.

Jolion J.-M., Rosenfeld A. Cluster detection in background noise. Pattern Recogn.. 1989;22(no. 5):603-607.

Jones R., Svalbe I. Morphological filtering as template matching. IEEE Trans. Pattern Anal. Mach. Intell.. 1994;16(no. 4):438-443.

Juan A., Vidal E. Fast K-means-like clustering in metric spaces. Pattern Recogn. Lett.. 1994;15(no. 1):19-25.

Kadyrov A., Petrou M. The trace transform and its applications. IEEE Trans. Pattern Anal. Mach. Intell.. 2001;23:811-828.

Kadyrov A., Petrou M. Affine parameter estimation from the trace transform. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. II. 2002:798-801.

Kaizer H. A quantification of textures on aerial photographs. MS thesis. Boston University; 1955.

Kamat-Sadekar V., Ganesan S. Complete description of multiple line segments using the Hough transform. Davies E.R., Atiquzzaman M. Special Issue on Projection-Based Transforms. Image Vision Comput. 1998;nos. 9–10(16):597-614.

Kamel M.S., Shen H.C., Wong A.K.C., Hong T.M., Campeanu R.I. Face recognition using perspective invariant features. Pattern Recogn. Lett.. 1994;15(no. 9):877-883.

Kanesalingam C., Smith M.C.B., Dodds S.A. An efficient algorithm for environmental mapping and path planning for an autonomous mobile robot. Proc. 29th Int. Symp. on Robotics. Birmingham. 1998:133-136.

Kang D.-J., Jung M.-H. Road lane segmentation using dynamic programming for active safety vehicles. Pattern Recogn. Lett.. 2003;24:3177-3185.

Kapur J.N., Sahoo P.K., Wong A.K.C. A new method for gray-level picture thresholding using the entropy of the histogram. Comput. Vision Graph. Image Process. 1985;29:273-285.

Kasif S., Kitchen L., Rosenfeld A. A Hough transform technique for subgraph isomorphism. Pattern Recogn. Lett.. 1983;2:83-88.

Kass M., Witkin A. Analyzing oriented patterns. Comput. Vision Graph. Image Process.. 1987;37(no. 3):362-385.

Kass M., Witkin A., Terzopoulos D. Snakes: active contour models. Int. J. Comput. Vision. 1988;1:321-331.

Kastrinaki V., Zervakis M., Kalaitzakis K. A survey of video processing techniques for traffic applications. Image Vision Comput.. 2003;21(no. 4):359-381.

Katatani K., Chou T. Shape from texture: general principle. Artif. Intell.. 1989;38(no. 1):1-49.

Katz A.J., Thrift P.R. Generating image filters for target recognition by genetic learning. IEEE Trans. Pattern. Anal. Mach. Intell.. 1994;16(no. 9):906-910.

Keagy P.M., Parvin B., Schatzki T.F. Machine recognition of navel orange worm damage in x-ray images of pistachio nuts. Optics in Agric., Forestry and Biological, SPIE. 1995;2345:192-203.

Keagy P.M., Parvin B., Schatzki T.F. Machine recognitions of navel organge worm damage in X-ray images of pistachio nuts. Lebens.-Wiss. u.-Technol.. 1996;29:140-145.

Keefe P.D. A dedicated wheat grain image analyser. Plant Varieties and Seeds. 1992;5:27-33.

Kégl B., Krzyzak A. Piecewise linear skeletonization using principal curves. IEEE Trans. Pattern. Anal. Math. Intell.. 2002;24(no. 1):59-74.

Kehtarnavaz N., Mohan S. A framework for estimation of motion parameters from range images. Comput. Vision Graph. Image Process.. 1989;45:88-105.

Keller J.M., Chen S., Crownover R.M. Texture description and segmentation through fractal geometry. Comput. Vision Graph. Image Process.. 1989;45:150-166.

and North-Holland, AmsterdamKelley R.B., Gouin P. Heuristic vision hole finder. Pugh A., editor. Proc. 4th Int. Conf. on Robot Vision and Sensory Controls. London (October 9–11). Bedford: IFS (Publications) Ltd.; 1984:341-350.

Kender J.R. Shape from texture. Carnegie-Mellon University, Comput. Sci. Techn. Rep. CMU-CS-81-102. 1981.

Kender J.R. Shape from texture. Carnegie-Mellon University, Techn. Report CMU-CS-81-102. 1983.

Kenney C.S., Manjunath B.S., Zuliani M., Hewer G.A., van Nevel A. A condition number for point matching with application to registration and postregistration error estimation. IEEE Trans. Pattern. Anal. Mach. Intell.. 2003;25(no. 11):1437-1454.

Kerbyson D.J., Atherton T.J. Circle detection using Hough transform filters. IEE Conference Publication no. 410. 1995:370-374.

Kesidis A.L., Papamarkos N. On the grayscale inverse Hough transform. Image Vision Comput.. 2000;18(no. 8):607-618.

Kessal L., Abel N., Demigny D. Real-time image processing with dynamically reconfigurable architecture. Real-Time Imaging. 2003;9(no. 5):297-313.

Kim D.-S., Lee W.-H., Kweon I.-S. Automatic edge detection using 3×3 ideal binary pixel patterns and fuzzy-based edge thresholding. Pattern Recogn. Lett.. 2004;25(no. 1):101-106.

Kim D.Y., Kim J.J., Meer P., Mintz D., Rosenfeld A. Robust computer vision: a least median of squares based approach. Proc. DARPA Image Understanding Workshop. Palo Alto, CA (May 23–26). 1989:1117-1134.

Kim H.-B., Park R.-H. Extraction of periodicity vectors from structural textures using projection information. Pattern Recogn. Lett.. 1990;11(no. 9):625-630.

Kim M.J., Han J.H. Computation of a cross-section structure: a projection-based approach. Davies E.R., Atiquzzaman M. Special Issue on Projection-Based Transforms. Image Vision Comput. 1998;nos. 9–10(16):653-668.

Kimme C., Ballard D., Sklansky J. Finding circles by an array of accumulators. Comm. ACM. 1975;18:120-122.

Kimura A., Watanabe T. An extension of the generalized Hough transform to realize affine-invariant two-dimensional (2D) shape detection. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. I. 2002:65-69.

King T.G., Tao L.G. An incremental real-time pattern tracking algorithm for line-scan camera applications. Mechatronics. 1995;4(no. 5):503-516.

Kirsch R.A. Computer determination of the constituent structure of biological images. Comput. Biomed. Res.. 1971;4:315-328.

Kiryati N., Bruckstein A.M. Antialiasing the Hough transform. Computer Vision Graph. Image Process.: Graph. Models Image Process.. 1991;53(no. 3):213-222.

Kitchen L., Rosenfeld A. Discrete relaxation for matching relational structures. IEEE Trans. Systems Man Cybern.. 1979;9:869-874.

Kitchen L., Rosenfeld A. Gray-level corner detection. Pattern Recogn. Lett.. 1982;1:95-102.

Kittler J. On the accuracy of the Sobel edge detector. Image Vision Comput.. 1983;1:37-42.

Kittler J., Hatef M., Duin R.P.W., Matas J. On combining classifiers. IEEE Trans. Pattern Anal. Mach. Intell.. 1998;20(no. 3):226-239.

Kittler J., Illingworth J., Föglein J. Threshold selection based on a simple image statistic. Comput. Vision Graph. Image. Process.. 1985;30:125-147.

Kittler J., Illingworth J., Föglein J., Paler K. An automatic thresholding algorithm and its performance. Proc. 7th Int. Conf. on Pattern Recogn. Montreal (July 30-2 August). 1984:287-289.

Klassen E., Srivistava A., Mio W., Joshi S.H. Analysis of planar shapes using geodesic paths on shape spaces. IEEE Trans. Pattern Anal. Mach. Intell.. 2004;26(no. 3):372-383.

Koch C., Park S., Ellis T.J., Georgiadis A. Illumination technique for optical dynamic range compression and offset reduction. Proc. British Machine Vision Assoc. Conf. Manchester, UK (September). 2001:293-302.

Koenderink J.J., van Doorn A.J. The internal representation of solid shape with respect to visions. Biol. Cybern.. 1979;32:211-216.

Koivo A.J., Kim C.W. Robust image modelling for classification of surface defects on wood boards. IEEE Trans. Systems Man Cybern.. 1989;19(no. 6):1659-1666.

Koller D., Weber J., Huang T., Malik J., Ogasawara G., Rao B., Russell S. Towards robust automatic traffic scene analysis in real-time. Proc. 12th Int. Conf. on Pattern Recogn. Jerusalem, Israel (October 9–13). 1994:126-131.

Koller Th.M., Gerig G., Székely G., Dettwiler D. Multiscale detection of curvilinear structures in 2-D and 3-D image data. Proc. 5th Int. Conf. on Computer Vision (ICCV’95). 1995:864-869.

Koplowitz J., Bruckstein A.M. Design of perimeter estimators for digitized planar shapes. IEEE Trans. Pattern Anal. Mach. Intell.. 1989;11:611-622.

Kortenkamp D., Bonasso R.P., Murphy R. Artificial Intelligence and Mobile Robots. Menlo Park, CA; Cambridge, MA; London, England: AAAI Press/The MIT Press, 1998.

Kuehnle A. Symmetry-based recognition of vehicle rears. Pattern Recogn. Lett.. 1991;12:249-258.

Kulpa Z. Area and perimeter measurement of blobs in discrete binary pictures. Comput. Graph. Image Process.. 1977;6:434-451.

Kumar R., Hanson A.R. Robust estimation of camera location and orientation from noisy data having outliers. Proc. Workshop on Interpretation of 3D Scenes. Austin, TX (November 27–29). 1989:52-60.

Kung H.T. The structure of parallel algorithms. Adv. Comput.. 1980;19:69-112.

Kuo F.F. 2nd edition. Network Analysis and Synthesis. New York: Wiley; 1966.

Kwok P.C.K. Customising thinning algorithms. Proceedings of the 3rd International Conference on Image Processing and Its Applications. Warwick (July 18–20). IEE Conf. Publ. 1989;307:633-637.

Lacroix V. A three-module strategy for edge detection. IEEE Trans. Pattern Anal. Mach. Intell.. 1988;10:803-810.

Lam S.W.C., Ip H.H.S. Structural texture segmentation using irregular pyramid. Pattern Recogn. Lett.. 1994;15(no. 7):691-698.

Lamdan Y., Wolfson H.J. Geometric hashing: a general and efficient model-based recognition scheme. Proc. IEEE 2nd Int. Conf. on Computer Vision. Tampa, FL (December). 1988:238-249.

Landgrebe D.A. Analysis technology for land remote sensing. Proc. IEEE. 1981;69:628-642.

Lane R.A., Thacker N.A., Seed N.L. Stretch-correlation as a real-time alternative to feature-based stereo matching algorithms. Image Vision Comput.. 1994;12(no. 4):203-212.

Laurentini A. The visual hull concept for silhouette-based image understanding. IEEE Trans. Pattern Anal. Mach. Intell.. 1994;16(no. 2):150-162.

Laws K.I. Texture energy measures. Proc. Image Understanding Workshop. Nov. 1979:47-51.

San Diego, CA (July 28–August 1)Laws K.I. Rapid textures identification. Proc. SPIE Conf. on Image Processing for Missile Guidance. 1980;238:376-380.

Laws K.I. Textured Image Segmentation. Ph.D. thesis. Los Angeles: Univ. of Southern California; 1980.

Leavers V.F. Shape Detection in Computer Vision Using the Hough Transform. Berlin: Springer-Verlag; 1992.

Leavers V.F. Which Hough transform? Computer Vision Graph. Image Process.: Image Understanding. 1993;58(no. 2):250-264.

Leavers V.F., Boyce J.F. The Radon transform and its application to shape parametrization in machine vision. Image Vision Comput.. 1987;5:161-166.

Lebègue X., Aggarwal J.K. Significant line segments for an indoor mobile robot. IEEE Trans. Robotics and Automation. 1993;9(no. 6):801-815.

Lee M.-S., Medioni G., Mordohai P. Interence of segmented overlapping surfaces from binocular stereo. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 6):824-837.

Lei Y., Wong K.C. Ellipse detection based on symmetry. Pattern Recogn. Lett.. 1999;20(no. 1):41-47.

Lev A., Zucker S.W., Rosenfeld A. Iterative enhancement of noisy images. IEEE Trans. Systems Man Cybern.. 1977;7:435-442.

Levine M.D. Vision in Man and Machine. New York: McGraw-Hill; 1985.

Li H., Lavin M.A. Fast Hough transform based on bintree data structure. Proc. Conf. Comput. Vision and Pattern Recogn. Miami Beach, Florida. 1986:640-642.

Li H., Lavin M.A., LeMaster R.J. Fast Hough transform. Proc. 3rd Workshop on Comput. Vision: Representation and Control. Bellair. 1985:75-83.

Liao K., Paulsen M.R., Reid J.F. Real-time detection of colour and surface defects of maize kernels using machine vision. J. Agric. Eng. Res.. 1994;59:263-271.

Lin C.C., Chellappa R. Classification of partial 2-D shapes using Fourier descriptors. IEEE Trans. Pattern Anal. Mach. Intell.. 1987;9:686-690.

Linsker R., From basic network principles to neural architecture. Proc. National Acad. Sciences, USA. 1986;83:7508-7512. Linsker R., From basic network principles to neural architecture. Proc. National Acad. Sciences, USA. 1986;83:8390-8394. Linsker R. From basic network principles to neural architecture. Proc. National Acad. Sciences, USA. 1986;83:8779-8783.

Linsker R. Self-organization in a perceptual network. IEEE Computer (March). 1988:105-117.

Lippmann R.P. An introduction to computing with neural nets. IEEE Acoustics Speech, Signal Process. Magazine. 1987;4(no. 2):4-22.

Liu L., Sclaroff S. Deformable model-guided region split and merge of image regions. Image Vision Comput.. 2004;22(no. 4):343-354.

Liu M.L., Wong K.H. Pose estimation using four corresponding points. Pattern Recogn. Lett.. 1999;20(no. 1):69-74.

Lladós J., Martí E., Villanueva J.J. Symbol recognition by error-tolerant subgraph matching between region adjacency graphs. IEEE Trans. Pattern Anal. Mach. Intell.. 2001;23(no. 10):1137-1143.

Lockton R., Fitzgibbon A. Real-time gesture recognition using deterministic boosting. Proc. British Machine Vision Assoc. Conf. Cardiff, UK (September 2–5). 2002:817-826.

Longuet-Higgins H.C. A computer algorithm for reconstructing a scene from two projections. Nature. 1981;293:133-135.

Longuet-Higgins H.C. The visual ambiguity of a moving plane. Proc. R. Soc. (London). 1984;B233:165-175.

Longuet-Higgins H.C., Prazdny K. The interpretation of a moving retinal image. Proc. R. Soc. (London). 1980;B208:385-397.

Lowe D., editor. Special Issue on Applications of Artificial Neural Networks. IEE Proc. Vision Image Signal Process. 1994;no. 4(141).

Lu S., Szeto A. Improving edge measurements on noisy images by hierarchical neural networks. Pattern Recogn. Lett.. 1991;12:155-164.

Lüdtke N., Luo B., Hancock E., Wilson R.C. Corner detection using a mixture model of edge orientation. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. II. 2002:574-577.

Lukac R. Adaptive vector median filtering. Pattern Recogn. Lett.. 2003;24(no. 12):1889-1899.

Luo B., Hancock E.R. Structural graph matching using the EM algorithm and singular value decomposition. IEEE Trans. Pattern Anal. Mach. Intell.. 2001;23(no. 10):1120-1136.

Luong Q.-T., Faugeras O. Self-calibration of a moving camera from point correspondences and fundamental matrices. Int. J. Computer Vision. 1997;22(no. 3):261-289.

Lutton E., Martinez P. A genetic algorithm for the detection of 2D geometric primitives in images. Proc. 12th Int. Conf. on Pattern Recogn., Jerusalem (October 9–13). Vol. 1. 1994:526-528.

Lutton E., Maître H., Lopez-Krahe J. Contribution to the determination of vanishing points using Hough transform. IEEE Trans. Pattern Anal. Mach. Intell.. 1994;16(no. 4):430-438.

Lyvers E.R., Mitchell O.R. Precision edge contrast and orientation estimation. IEEE Trans. Pattern Anal. Mach. Intell.. 1988;10:927-937.

Ma L., Tan T., Wang Y., Zhang D. Personal identification based on iris texture analysis. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 12):1519-1533.

Mackeown W.P.J., Greenway P., Thomas B.T., Wright W.A. Contextual image labelling with a neural network. IEE Proc. Vision Image Signal Process.. 1994;141(no. 4):238-244.

MacQueen J.B. Some methods for classification and analysis of multivariate observations. Proc. 5th Berkeley Symp. on Math. Stat. and Prob.. 1967;I:281-297.

Magee M.J., Aggarwal J.K. Determining vanishing points from perspective images. Computer Vision Graph. Image. Process.. 1984;26(no. 2):256-267.

Malik J., Weber J., Luong Q.-T., Koller D. Smart cars and smart roads. Proc. 6th British Machine Vision Assoc. Conf. Birmingham (September 11–14). 1995:367-381.

Mallat S.G. A theory of multiresolution image processing: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell.. 1989;11(no. 6):674-693.

Mandelbrot B.B. The Fractal Geometry of Nature. San Francisco, CA: Freeman; 1982.

Manthalkar R., Biswas P.K., Chatterji B.N. Rotation invariant texture classification using even symmetric Gabor filters. Pattern Recogn. Lett.. 2003;24(no. 12):2061-2068.

Maragos P., Schafer R.W., Butt M.A. Mathematical Morphology and Its Application to Image and Signal Processing. Boston: Kluwer Academic Publications, 1996.

Marchant J.A. Tracking of row structure in three crops using image analysis. Comput. Electron. Agric.. 1996;15:161-179.

Marchant J.A., Brivot R. Real-time tracking of plant rows using a Hough transform. Real-Time Imaging. 1995;1(no. 5):363-371.

Marchant J.A., Onyango C.M. Fitting grey level point distribution models to animals in scenes. Image Vision Comput.. 1995;13(no. 1):3-12.

Marchant J.A., Tillett R.D., Brivot R. Real-time segmentation of plants and weeds. Real-Time Imaging. 1998;4:243-253.

Marino F., Stella E., Branca A., Veneziani N., Distante A. Specialized hardware for real-time navigation. Real-Time Imaging. 2001;7(no. 1):97-108.

Marr D. Early processing of visual information. Phil. Trans. R. Soc. (London). 1976;B275:483-524.

Marr D., Hildreth E. Theory of edge detection. Proc. R. Soc. (London). 1980;B207:187-217.

Marr D., Poggio T. A computational theory of human stereo vision. Proc. R. Soc. (London). 1979;B204:301-328.

Marshall S. New direct design method for weighted order statistic filters. IEE Proc. Vision Image Signal Processing. 2004;151(no. 1):1-8.

Marshall S., Harvey N., Shah D. Proc. Noblesse Workshop on Non-linear Model Based Image Analysis. Glasgow (July 1–3). London: Springer-Verlag; 1998.

Marslin R.F., Sullivan G.D., Baker K.D. Kalman filters in constrained model based tracking. Proc. 2nd British Machine Vision Assoc. Conf. Glasgow (September 23–26). 1991:371-374.

Matsuyama T., Saburi K., Nagao M. A structural analyzer for regularly arranged textures. Comput. Graph. Image Process.. 1982;18(no. 3):259-278.

Maybank S.J. Algorithm for analysing optical flow based on the least squares method. Image Vision Comput.. 1986;4:38-42.

Maybank S. Theory of Reconstruction from Image Motion. Berlin, Heidelberg: Springer-Verlag; 1992.

Maybank S.J. Stochastic properties of the cross ratio. Pattern Recogn. Lett.. 1996;17(no. 3):211-217.

Maybank S.J., Faugeras O. A theory of self-calibration of a moving camera. Int. J. Computer Vision. 1992;8(no. 2):123-151.

Maybank S., Tan T. Special issue: Visual Surveillance. Image Vision Comput. 2004;22:515-582. no. 7

Maybeck P.S. Stochastic Models, Estimation, and Control. Volume 1. New York and London: Academic Press; 1979.

McFarlane N.J.B., Schofield C.P. Segmentation and tracking of piglets in images. Machine Vision Applications. 1995;8(no. 3):187-193.

McGunnigle G., Chantler M. Resolving handwriting from background printing using photometric stereo. Pattern Recogn.. 2003;36:1869-1879.

McIvor A.M. Edge detection in dynamic vision. Proc. 4th Alvey Vision Conf. Manchester (August 31–September 2). 1988:141-145.

Meer P., Georgescu B. Edge detection with embedded confidence. IEEE Trans. Pattern Anal. Mach. Intell.. 2001;23(no. 12):1351-1365.

Meer P., Mintz D., Rosenfeld A. Least median of squares based robust analysis of image structure. Proc. DARPA Image Understanding Workshop. Pittsburgh, Pennsylvania (Sept. 11–13). 1990:231-254.

Meer P., Mintz D., Rosenfeld A., Kim D.Y. Robust regression methods for computer vision: a review. Int. J. Comput. Vision. 1991;6(no. 1):59-70.

Mémin É., Risset T. VLSI design methodology for edge-preserving image reconstruction. Real-Time Imaging. 2001;7(no. 1):109-126.

Meribout M., Nakanishi M., Ogura T. Accurate and real-time image processing on a new PC-compatible board. Real-Time Imaging. 2002;8(no. 1):35-51.

Merlin P.M., Farber D.J. A parallel mechanism for detecting curves in pictures. IEEE Trans. Comput.. 1975;28:96-98.

Mérõ L., Vassy Z. A simplified and fast version of the Hueckel operator for finding optimal edges in pictures. Proc. 4th Int. Joint Conf. on Artif. Intell. Tbilisi, Georgia, USSR. 1975:650-655.

Michalewicz Z. Genetic Algorithms+Data Structures=Evolution Programs. Berlin, Heidelberg: Springer-Verlag; 1992.

Mikic I., Kogut P.C.G., Trivedi M. Moving shadow and object detection in traffic scenes. Proc. Int. Conf. on Pattern Recogn. 2000:321-324.

Milgram D. Region extraction using convergent evidence. Comput. Graph. Image Process.. 1979;11:1-12.

Minsky M., Papert S. On some associative, parallel and analog computations. In: Jacks E.J., editor. Associative Information Techniques. New York: Elsevier; 1971:27-47.

Minsky M.L., Papert S.A. Perceptrons. Cambridge, MA: MIT Press; 1969.

Mirmehdi M., Petrou M. Segmentation of colour textures. IEEE Trans. Pattern Anal. Mach. Intell.. 2000;22(no. 2):142-159.

Mitra P., Murthy C.A., Pal S.K. Unsupervised feature selection using feature similarity. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 3):301-312.

Moganti M., Ercal F., Dagli C.H., Tsunekawa S. Automatic PCB inspection algorithms: a survey. Comput. Vision Image Understanding. 1996;63(no. 2):287-313.

Mohr R., Wu C. Special Issue on Geometric Modelling and Invariants for Computer Vision. Image Vision Comput. 1998;no. 1(16).

Mokhtarian F., Bober M. Curvature Scale Space Representation: Theory, Applications and MPEG-7 Standardisation. Dordrecht: Kluwer Academic Publishers; 2003.

Mokhtarian F., Abbasi S., Kittler J. Efficient and robust shape retrieval by shape content through curvature scale space. Proc. 1st Int. Conf. Image Database and Multi-Search. 1996:35-42.

Montiel E., Aguado A.S., Nixon M.S. Improving the Hough transform gathering process for affine transformations. Pattern Recogn. Lett.. 2001;22(no. 9):959-969.

Moore G.A. Automatic scanning and computer processes for the quantitative analysis of micrographs and equivalent subjects. In: Cheng G.C., et al. Pictorial Pattern Recognition. Washington, DC: Thompson; 1968:236-275.

Moravec H.P. Towards automatic visual obstacle avoidance. Proc. 5th Int. Joint. Conf. on Artificial Intelligence. Cambridge, MA (August 22–25). 1977:584.

Moravec H.P. Obstacle avoidance and navigation in the real world by a seeing robot rover. Stanford Artif. Intell. Lab. Memo AIM-340. 1980.

Môtus L., Rodd M.G. Timing Analysis of Real-Time Software. Oxford, UK: Elsevier; 1994.

Mundy J.L., Zisserman A. Geometric Invariance in Computer Vision. Cambridge, MA: MIT Press, 1992.

Mundy J.L., Zisserman A. Appendix—projective geometry for machine vision. In: Mundy J.L., Zisserman A. Geometric Invariance in Computer Vision. Cambridge, MA: MIT Press; 1992:463-519.

Murray D.W., Kashko A., Buxton H. A parallel approach to the picture restoration algorithm of Geman and Geman on an SIMD machine. Image Vision Comput.. 1986;4(no. 3):133-142.

Nagao M., Matsuyama T. Edge preserving smoothing. Comput. Graph. Image Process.. 1979;9:394-407.

Nagel H.-H. Displacement vectors derived from second-order intensity variations in image sequences. Comput. Vision Graph. Image Process.. 1983;21:85-117.

Nagel H.-H. Image sequences—ten (octal) years—from phenomenology towards a theoretical foundation. Proc. 8th Int. Conf. on Pattern Recogn. Paris (October 27–31). 1986:1174-1185.

Nagel R.N., Rosenfeld A. Ordered search techniques in template matching. Proc. IEEE. 1972;60:242-244.

Nakagawa Y. Automatic visual inspection of solder joints on printed circuit boards. Proc. SPIE, Robot Vision. 1982;336:121-127.

Nakagawa Y., Rosenfeld A. Some experiments on variable thresholding. Pattern Recogn.. 1979;11:191-204.

Narendra P.M. A separable median filter for image noise smoothing. Proc. IEEE Comput. Soc. Conf. on Pattern Recogn. and Image Process. Chicago (May 31–June 2). 1978:137-141.

Nesi P., Trucco E. Special Issue on Real-Time Defect Detection. Real-Time Imaging. 1999;no. 1(5).

Newman T.S., Jain A.K. A survey of automated visual inspection. Comput. Vision Image Understanding. 1995;61(no. 2):231-262.

Niblack W. An Introduction to Digital Image Processing. Birkeroed, Denmark: Strandberg; 1985.

Nieminen A., Heinonen P., Neuvo Y. A new class of detail-preserving filters for image processing. IEEE Trans. Pattern Anal. Mach. Intell.. 1987;9:74-90.

Nightingale C., Hutchinson R.A. Artificial neural nets and their applications to image processing. British Telecom Technol. J.. 1990;8(no. 3):81-93.

Nilsson N.J. Learning Machines—Foundations of Trainable Pattern-Classifying Systems. New York: McGraw-Hill; 1965.

Nitzan D., Brain A.E., Duda R.O. The measurement and use of registered reflectance and range data in scene analysis. Proc. IEEE. 1977;65:206-220.

Nixon M. Application of the Hough transform to correct for linear variation of background illumination in images. Pattern Recogn. Lett.. 1985;3:191-194.

Nixon M.S., Aguado A.S. Feature Extraction and Image Processing. London: Newnes; 2002.

Noble A., Hartley R., Mundy J., Farley J. X-ray metrology for quality assurance. Proc. IEEE Int. Conf. Robotics and Automation, Vol. 2, San Diego, CA (May). 1994:1113-1119.

Noble J.A. Finding corners. Image Vision Comput.. 1988;6:121-128.

Noble J.A. From inspection to process understanding and monitoring: a view on computer vision in manufacturing. Image Vision Comput.. 1995;13(no. 3):197-214.

reprinted inNorth D.O. An analysis of the factors which determine signal/noise discrimination in pulsed-carrier systems. RCA Lab., Princeton, NJ, Rep. PTR-6C. 1943. Proc. IEEE. 1963;51:1016-1027.

Noyce R.N. Microelectronics. Scientific Amer.. 1977;237(September):62-69.

O’Gorman F. Edge detection using Walsh functions. Artif. Intell.. 1978;10:215-223.

O’Gorman F., Clowes M.B. Finding picture edges through collinearity of feature points. IEEE Trans. Comput.. 1976;25:449-456.

Offen R.J., editor. VLSI Image Processing. London: Collins, 1985.

Oflazer K. Design and implementation of a single chip 1d median filter. IEEE Trans. Acoust. Speech Signal Process.. 1983;31:1164-1168.

Ogawa H., Taniguchi K. Preprocessing for Chinese character recognition and global classification of handwritten Chinese characters. Pattern Recogn.. 1979;11:1-7.

Ohanian P.P., Dubes R.C. Performance evaluation for four classes of textural features. Pattern Recogn.. 1992;25:819-833.

Ohta Y., Maenobu K., Sakai T. Obtaining surface orientation from texels under perspective projection. Proc. 7th Int. Joint Conf. on Artif. Intell. Vancouver. 1981:746-751.

Oja E. A simplified neuron model as a principal component analyzer. Int. J. Neural Systems. 1982;1:61-68.

Oja E., Karhunen J. Nonlinear PCA: algorithms and applications. Report A18. Espoo, Finland: Helsinki Univ. of Technol.; 1993.

Ojala T., Pietikäinen M., Mäenpää T. Multiresolution gray-scale and rotationinvariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 7):971-987.

Olague G., Hernández B. Flexible model-based multi-corner detector for accurate measurements and recognition. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. II. 2002:578-583.

Olson C.F. Improving the generalized Hough transform through imperfect grouping. Davies E.R., Atiquzzaman M. Special Issue on Projection-Based Transforms. Image Vision Comput. 1998;nos. 9–10(16):627-634.

Olson C.F. Constrained Hough transforms for curve detection. Computer Vision Image Understanding. 1999;73(no. 3):329-345.

Onyango C.M., Marchant J.A. Modelling grey level surfaces using three-dimensional point distribution models. Image Vision Comput.. 1996;14:733-739.

Osteen R.E., Tou J.T. A clique-detection algorithm based on neighbourhoods in graphs. Int. J. Comput. Inf. Sci.. 1973;2:257-268.

Otsu N. A threshold selection method from gray-level histograms. IEEE Trans. Systems Man Cybern.. 1979;9:62-66.

Ouerhani N., Hügli H. Real-time visual attention on a massively parallel SIMD architecture. Real-Time Imaging. 2003;9(no. 3):189-196.

Overington I., Greenway P. Practical first-difference edge detection with subpixel accuracy. Image Vision Comput.. 1987;5:217-224.

Pal N.R., Pal S.K. Object-background segmentation using new definitions of entropy. IEE Proc. E. 1989;136(no. 4):284-295.

Pal S.K., Bhandari D., Kundu M.K. Genetic algorithms for optimal image enhancement. Pattern Recogn. Lett.. 1994;15(no. 3):261-271.

Pal S.K., King R.A., Hashim A.A. Automatic grey level thresholding through index of fuzziness and entropy. Pattern Recogn. Lett.. 1983;1:141-146.

Paler K., Kittler J. Greylevel edge thinning: a new method. Pattern Recogn. Lett.. 1983;1:409-416.

Paler K., Foglein J., Illingworth J., Kittler J. Local ordered grey levels as an aid to corner detection. Pattern Recogn.. 1984;17:535-543.

Pan X.-B., Brady M., Bowman A.K., Crowther C., Tomlin R.S.O. Enhancement and feature extraction for images of incised and ink texts. Image Vision Comput.. 2004;22(no. 6):443-451.

Pan X.D., Ellis T.J., Clarke T.A. Robust tracking of circular features. Proc. 6th British Machine Vision Assoc. Conf. Birmingham (September 11–14). 1995:553-562.

Panda D.P., Rosenfeld A. Image segmentation by pixel classification in (gray level, edge value) space. IEEE Trans. Comput.. 1978;27:875-879.

Parker D.B. Learning-logic: casting the cortex of the human brain in silicon. Technical Report TR-47. Cambridge, MA: Center for Comput. Res. in Economics and Management Sci., MIT; 1985.

Parker J.R. Practical Computer Vision Using C. New York: Wiley; 1994.

Patel D., Davies E.R. Low contrast object detection using a MLP network designed by node creation. Proc. IEEE Int. Conf. on Neural Networks, Perth (November 27-December 1). Vol. 2. 1995:1155-1159.

Patel D., Davies E.R., Hannah I. Towards a breakthrough in the detection of contaminants in food products. Sensor Review. 1995;15(no. 2):27-28.

Patel D., Davies E.R., Hannah I. The use of convolution operators for detecting contaminants in food images. Pattern Recognition. 1996;29(no. 6):1019-1029.

Patel D., Hannah I., Davies E.R. Texture analysis for foreign object detection using a single layer neural network. Proc. IEEE Int. Conf. on Neural Networks, Florida (June 28-July 2). Vol. VII. 1994:4265-4268.

Pavlidis T. Computer recognition of figures through decomposition. Inf. Control. 1968;12:526-537.

Pavlidis T. Structural Pattern Recognition. New York: Springer-Verlag; 1977.

Pavlidis T. A review of algorithms for shape analysis. Comput. Graph. Image Process.. 1978;7:243-258.

Pavlidis T. Algorithms for shape analysis of contours and waveforms. IEEE Trans. Pattern Anal. Mach. Intell.. 1980;2:301-312.

Pavlidis T. Why progress in machine vision is so slow. Pattern Recogn. Lett.. 1992;13:221-225.

Pearl J. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Mateo, CA: Morgan Kaufmann; 1988.

Pelillo M. Replicator equations, maximal cliques and graph isomorphism. Neural Computation. 1999;11(no. 8):1933-1955.

Penman D., Olsson O., Beach D. Automatic X-ray inspection of canned products for foreign material. Machine Vision Applications, Architectures and Systems Integration, SPIE. 1992;1823:342-347.

Pentland A.P. Fractal-based description of natural scenes. IEEE Trans. Pattern Anal. Mach. Intell.. 1984;6(no. 6):661-674.

Persoon E., Fu K.-S. Shape discrimination using Fourier descriptors. IEEE Trans. Systems Man Cybern.. 1977;7:170-179.

Petrou M., Bosdogianni P. Image Processing: The Fundamentals. Chichester: Wiley; 1999.

Petrou M., Kittler J. On the optimal edge detector. Proc. 4th Alvey Vision Conf. Manchester (August 31-September 2). 1988:191-196.

Pfaltz J.L., Rosenfeld A. Computer representation of planar regions by their skeletons. Comm. ACM. 1967;10:119-125.

Pham D.T., Bayro-Corrochano E.J. Neural computing for noise filtering, edge detection and signature extraction. J. Systems Eng.. 1992;1:13-23.

Phong B.-T. Illumination for computer-generated pictures. Comm. ACM. 1975;18:311-317.

Pickett R.M. Visual analysis of texture in the detection and recognition of objects. In: Lipkin B.S., Rosenfeld A. Picture Processing and Psychopictorics. New York: Academic Press; 1970:289-308.

Pietikäinen M., Rosenfeld A., Davis L.S. Experiments with texture classification using averages of local pattern matches. IEEE Trans. Systems Man Cybern.. 1983;13(no. 3):421-426.

Plummer A.P.N., Dale F. The Picture Processing Language Compiler Manual. Teddington: National Physical Laboratory; 1984.

Pollard S.B., Porrill J., Mayhew J.E.W., Frisby J.P. Matching geometrical descriptions in three-space. Image Vision Comput.. 1987;5(no. 2):73-78.

Postaire J.G., Touzani A. Mode boundary detection by relaxation for cluster analysis. Pattern Recogn.. 1989;22(no. 5):477-489.

Pountain D., May D. A Tutorial Introduction to OCCAM Programming. Oxford: BSP Professional Books; 1987.

Prati A., Cucchiara R., Mikić I., Trivedi M. Analysis and detection of shadows in video streams: a comparative evaluation. Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition. Hawaii (December 11–13). 2001.

Pratt W.K. Digital Image Processing. 2nd edition. New York: Wiley-Interscience; 2001.

Press W.H., Teukolsky S.A., Vetterling W.T., Flannery B.P. 2nd edition. Numerical Recipes in C. The Art of Scientific Computing. Cambridge: Cambridge Univ. Press; 1992.

Prewitt J.M.S. Object enhancement and extraction. In: Lipkin B.S., Rosenfeld A. Picture Processing and Psychopictorics. New York: Academic press; 1970:75-149.

Prieto M.S., Allen A.R. A similarity metric for edge images. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 10):1265-1273.

Princen J., Illingworth J., Kittler J. A hierarchical approach to line extraction. Proc. IEEE Comput. Vision and Pattern Recogn. Conf. San Diego. 1989:92-97.

Princen J., Illingworth J., Kittler J. Hypothesis testing: a framework for analyzing and optimizing Hough transform performance. IEEE Trans. Pattern Anal. Mach. Intell.. 1994;16(no. 4):329-341.

Princen J., Yuen H.K., Illingworth J., Kittler J. Properties of the adaptive Hough transform. Proc. 6th Scand. Conf. on Image Analysis. Oulu, Finland (June 19–22). 1989:613-620.

Pringle K.K. Visual perception by a computer. In: Grasselli A., editor. Automatic Interpretation and Classification of Images. New York: Academic Press; 1969:277-284.

Pugh A., editor. Robot Vision. Bedford, UK: IFS (Publications) Ltd., 1983.

Pun C.-M., Lee M.-C. Log-polar wavelet energy signatures for rotation and scale invariant texture classification. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 5):590-603.

Pun T. A new method for grey-level picture thresholding using the entropy of the histogram. Signal Process.. 1980;2:223-237.

Pun T. Entropic thresholding, a new approach. Comput. Graph. Image Process.. 1981;16:210-239.

Rabah H., Mathias H., Weber S., Mozef E., Tanougast C. Linear array processors with multiple access modes memory for real-time image processing. Real-Time Imaging. 2003;9(no. 3):205-213.

Ramesh N., Yoo J.-H., Sethi I.K. Thresholding based on histogram approximation. IEE Proc. Vision Image Signal Process.. 1995;142(no. 5):271-279.

Rätsch G., Mika S., Schölkopf B., Müller K.-R. Constructing boosting algorithms from SVMs: an application to one-class classification. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 9):1184-1199.

Reed T.R., Du Buf J.M.H. A review of recent texture segmentation and feature extraction techniques. Computer Vision Graph. Image Process.: Image Understanding. 1993;57:359-372.

Reeves A.P. Parallel computer architectures for image processing. Comput. Vision Graph. Image Process.. 1984;25:68-88.

Reeves A.P., Akey M.L., Mitchell O.R. A moment-based two-dimensional edge operator. Proc. IEEE Comput. Soc. Conf. on Comput. Vision and Pattern Recogn. (June 19–23). 1983:312-317.

Ridgway C., Chambers J. Detection of external and internal insect infestation in wheat by near-infrared reflectance spectroscopy. J. Sci. Food Agric.. 1996;71:251-264.

Ridgway C., Davies E.R., Chambers J., Mason D.R., Bateman M. Rapid machine vision method for the detection of insects and other particulate biocontaminants of bulk grain in transit. Biosystems Engineering. 2002;83(no 1):21-30.

Rindfleisch T. Photometric method for lunar topography. Photogrammetric Eng.. 1966;32:262-276.

Ringer M., Lazenby J. Modelling and tracking articulated motion from multiple camera views. Proc. 11th British Machine Vision Assoc. Conf. Bristol, UK (September 11–14). 2000:172-181.

Ripley B.D. Pattern Recognition and Neural Networks. Cambridge, UK: Cambridge Univ. Press; 1996.

Rives G., Dhome M., Lapreste J.T., Richetin M. Detection of patterns in images from piecewise linear contours. Pattern Recogn. Lett.. 1985;3:99-104.

Robert L. Camera calibration without feature extraction. Comput. Vision Image Understanding. 1996;63(no. 2):314-325.

Roberts L.G. Machine perception of three-dimensional solids. In: Tippett J., et al. Optical and Electro-optical Information Processing. Cambridge, MA: MIT Press; 1965:159-197.

Robinson G.S. Edge detection by compass gradient masks. Comput. Graph. Image Process.. 1977;6:492-501.

Robles-Kelly A., Hancock E.R. A graph-spectral approach to correspondence matching. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. IV. 2002:176-179.

Rocket P.I. Performance assessment of feature detection algorithms: a methodology and case study of corner detectors. IEEE Trans. Image Process.. 2003;12(no. 12):1668-1676.

Rogers D.F. Procedural Elements for Computer Graphics. New York: McGraw-Hill; 1985.

Roh Y.J., Park W.S., Cho H. Correcting image distortion in the X-ray digital tomosynthesis system for PCB solder joint inspection. Image Vision Comput.. 2003;21(no. 12):1063-1075.

Rohl J.S., Barrett H.J. Programming via Pascal. Cambridge, UK: Cambridge University Press; 1980.

Rosenblatt F. The perceptron: a probabilistic model for information storage and organisation in the brain. Psychol. Review. 1958;65:386-408.

Rosenblatt F. Principles of Neurodynamics. New York: Spartan; 1962.

Rosenfeld A. Picture Processing by Computer. New York: Academic Press; 1969.

Rosenfeld A. Connectivity in digital pictures. J. ACM. 1970;17:146-160.

Rosenfeld A. Picture Languages: Formal Models for Picture Recognition. New York: Academic Press; 1979.

Rosenfeld A., Kak A.C. 2nd edition. Digital Picture Processing. New York: Academic Press; 1981.

Rosenfeld A., Pfaltz J.L. Sequential operations in digital picture processing. J. ACM. 1966;13:471-494.

Rosenfeld A., Pfaltz J.L. Distance functions on digital pictures. Pattern Recogn.. 1968;1:33-61.

Rosenfeld A., Troy E.B. Visual texture analysis. Computer Science Center, Univ. of Maryland Techn. Report TR-116. 1970.

Rosenfeld A., Troy E.B. Visual texture analysis. Conf. Record for Symposium on Feature Extraction and Selection in Pattern Recogn. IEEE Publication 70C-51C, Argonne, Ill. 1970;October:115-124.

Rosenfeld A., VanderBrug G.J. Coarse-fine template matching. IEEE Trans. Systems Man Cybern.. 1977;7:104-107.

Rosenfeld A., Hummel R.A., Zucker S.W. Scene labelling by relaxation operations. IEEE Trans. Systems Man Cybern.. 1976;6:420-433.

Rosie A.M. Information and Communication Theory. London: Blackie; 1966.

Rosin P. Fitting superellipses. IEEE Trans. Pattern Anal. Mach. Intell.. 2000;22(no. 7):726-732.

Rosin P., Ellis T.J. Image difference threshold strategies and shadow detection. Proc. British Machine Vision Assoc. Conf. 1995:347-356.

Rosin P.L. Measuring corner properties. Computer Vision Image Understanding. 1999;73(no. 2):291-307.

Rosin P.L., West G.A.W. Curve segmentation and representation by superellipses. IEE Proc. Vision Image Signal Process.. 1995;142(no. 5):280-288.

Roth G., Levine M.D. Geometric primitive extraction using a genetic algorithm. IEEE Trans. Pattern Anal. Mach. Intell.. 1994;16(no. 9):901-905.

Roth G., Whitehead A. Some improvements on two autocalibration algorithms based on the fundamental matrix. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. II. 2002:312-315.

Rothwell C.A. Object Recognition through Invariant Indexing. Oxford: Oxford University Press; 1995.

Rothwell C.A., Zisserman A., Forsyth D.A., Mundy J.L. Canonical frames for planar object recognition. Proc. 2nd European Conf. on Computer Vision. Santa Margherita Ligure, Italy (May 19–22). 1992:757-772.

Rothwell C.A., Zisserman A., Marinos C.I., Forsyth D.A., Mundy J.L. Relative motion and pose from arbitrary plane curves. Image Vision Comput.. 1992;10(no. 4):250-262.

Rousseeuw P.J. Least median of squares regression. J. Amer. Statist. Assoc.. 1984;79(no. 388):871-880.

Rousseeuw P.J., Leroy A.M. Robust Regression and Outlier Detection. New York: Wiley; 1987.

Rowley H., Baluja S., Kanade T. Neural network-based face detection. IEEE Trans. Pattern Anal. Mach. Intell.. 1998;20(no. 1):23-38.

Rumelhart D.E., Hinton G.E., Williams R.J. Learning internal representations by error propagation. In: Rumelhart D.E., McClelland J.L. Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge, MA: MIT Press; 1986:318-362.

Rumelhart D.E., McClelland J.L., PDP Research Group. Parallel Distributed Processing, Explorations in the Microstructure of Cognition. Cambridge, MA: MIT Press; 1987.

Rummel P., Beutel W. Workpiece recognition and inspection by a model-based scene analysis system. Pattern Recogn.. 1984;17:141-148.

Russ J.C. 3rd edition. The Image Processing Handbook. Boca Raton, FL: CRC Press; 1998.

Russell S.J., Norvig P. 2nd edition. Artificial Intelligence: A Modern Approach. Englewood cliffs, NJ: Prentice Hall; 2003.

Rutkowski W., Benton R. Determination of object pose by fitting a model to sparce range data. Interim Techn. Rep. Intelligent Task Automation Program. Honeywell, Inc.; 1984:6.

Rutovitz D. Centromere finding: some shape descriptors for small chromosome outlines. Meltzer B., Michie D., editors. Machine Intelligence. Edinburgh: Edinburgh University Press; 1970;5:435-462.

Rutovitz D. An algorithm for in-line generation of a convex cover. Comput. Graph. Image Process.. 1975;4:74-78.

Sahoo P.K., Soltani S., Wong A.K.C., Chen Y.C. A survey of thresholding techniques. Comput. Vision Graph. Image Process.. 1988;41:233-260.

Sakarya U., Erkmen I. An improved method of photometric stereo using local shape from shading. Image Vision Comput.. 2003;21(no. 11):941-954.

Sanchiz J.M., Pla F., Marchant J.A., Brivot R. Structure from motion techniques applied to crop field mapping. Image Vision Comput.. 1996;14:353-363.

Sanfeliu A., Fu K.S. A distance measure between attributed relational graphs for pattern recognition. IEEE Trans. Syst. Man Cybern.. 1983;13(no. 3):353-362.

Sanger T.D. Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks. 1989;2:459-473.

Sangwine S.J., Horne R.E.N. The Colour Image Processing Handbook. London: Chapman and Hall, 1998.

Sanz J.L.C., editor. Special Issue on Industrial Machine Vision and Computer Vision Technology. IEEE Trans. Pattern Anal. Mach. Intell. 1988;1(10).

Schaffalitsky F., Zisserman A. Planar grouping for automatic detection of vanishing lines and points. Image Vision Comput.. 2000;18(no. 9):647-658.

Schildt H. 3rd edition. C: The Complete Reference. Berkeley: Osborne McGraw-Hill; 1995.

Schmid C., Mohr R., Bauckhage C. Evaluation of interest point detectors. Int. J. Computer Vision. 2000;37(no. 2):151-172.

Schneiderman H., Nashman M., Wavering A.J., Lumia R. Vision-based robotic convoy driving. Machine Vision and Applications. 1995;8(no. 6):359-364.

and Morgan Kaufmann, San Mateo, CAScott G.L. Local and Global Interpretation of Moving Images. London: Pitman; 1988.

Sebe N., Lew M.S. Comparing salient point detectors. Pattern Recogn. Lett.. 2003;24(nos. 1–3):89-96.

Sebe N., Tian Q., Loupias E., Lew M.S., Huang T.S. Evaluation of salient point techniques. Image Vision Comput.. 2003;21(nos. 13-14):1087-1095.

Seeger U., Seeger R. Fast corner detection in grey-level images. Pattern Recogn. Lett.. 1994;15(no. 7):669-675.

Semple J.G., Kneebone G.T. Algebraic Projective Geometry. Oxford, UK: Oxford University Press; 1952.

Ser P.-K., Siu W.-C. Novel detection of conics using 2-D Hough planes. IEE Proc. Vision Image Signal Process.. 1995;142(no. 5):262-270.

Serra J. Image Analysis and Mathematical Morphology. New York: Academic Press; 1982.

Serra J. Introduction to mathematical morphology. Comput. Vision Graph. Image Process.. 1986;35:283-305.

Sewisy A.A., Leberl F. Detection ellipses by finding lines of symmetry in the images via an hough transform applied to straight lines. Image Vision Comput.. 2001;19(no. 12):857-866.

Shah M.A., Jain R. Detecting time varying corners. Comput. Vision Graph. Image Process.. 1984;28:345-355.

Shaming W.B. Digital image transform encoding. RCA Corp. paper no. PE-622. 1974.

Shapiro L.G., Haralick R.M. A metric for comparing relational descriptions. IEEE Trans. Pattern Anal. Mach. Intell.. 1985;7(no. 1):90-94.

Shen F., Wang H. Corner detection based on modified Hough transform. Pattern Recogn. Lett.. 2002;23(no. 8):1039-1049.

Shen X., Hogg D. 3D shape recovery using a deformable model. Image Vision Comput.. 1995;13(no. 5):377-383.

Shirai Y. Recognition of polyhedra with a range finder. Pattern Recogn.. 1972;4:243-250.

Shirai Y. Analyzing intensity arrays using knowledge about scenes. In: Winston P.H., editor. The Psychology of Computer Vision. New York: McGraw-Hill; 1975:93-113.

Shirai Y. Three-dimensional Computer Vision. Berlin: Springer-Verlag; 1987.

Shufelt J.A. Performance evaluation and analysis of vanishing point detection techniques. IEEE Trans. Pattern Anal. Mach. Intell.. 1999;21(no. 3):282-288.

Shuster R., Ansari N., Bani-Hashemi A. Steering a robot with vanishing points. IEEE Trans. Robotics and Automation. 1993;9(no. 4):491-498.

Siebel N.T., Maybank S.J. Fusion of multiple tracking algorithms for robust people tracking. Heyden A., Sparr G., Nielsen M., Johansen P., editors. Proc. 7th European Conf. on Computer Vision (ECCV). Vol. IV. 2002:373-387.

Siedlecki W., Sklansky J. A note on genetic algorithms for large-scale feature selection. Pattern Recogn. Lett.. 1989;10(no. 5):335-347.

Siegel A.F. Robust regression using repeated medians. Biometrika. 1982;69(no. 1):242-244.

Silberberg T.M., Davies L., Harwood D. An iterative Hough procedure for three-dimensional object recognition. Pattern Recogn.. 1984;17:621-629.

Singh R.K., Ramakrishna R.S. Shadows and texture in computer vision. Pattern Recogn. Lett.. 1990;11(no. 2):133-141.

Sjöberg F., Bergholm F. Extraction of diffuse edges by edge focussing. Pattern Recogn. Lett.. 1988;7:181-190.

Skillicorn D.B. A taxonomy for computer architectures. IEEE Comput. (November). 1988;21:46-57.

Skansky J. Recognition of convex blobs. Pattern Recogn.. 1970;2:3-10.

Sklansky J. On the Hough technique for curve detection. IEEE Trans. Comput.. 1978;27:923-926.

Sklansky J., Cordella L.P., Levialdi S. Parallel detection of concavities in cellular blobs. IEEE Trans. Comput.. 1976;25:187-196.

Slama C.C., editor. Manual of Photogrammetry, 4th edition, Falls Church, VA: Amer. Soc. of Photogrammetry, 1980.

Smith S., Brady J. Susan—a new approach to low level image processing. Int. J. Computer Vision. 1997;23(no. 1):45-78.

Snyder W.E., editor. Special Issue on Computer Analysis of Time-Varying Images. IEEE Comput. 1981;August(14).

Sobey P.J.M. The Automated Visual Inspection and Grading of Timber. Ph.D. Thesis. University of Adelaide; 1989.

Soille P. 2nd edition. Morphological Image Analysis: Principles and Applications. Heidelberg: Springer-Verlag; 2003.

Song J., Cai M., Lyu M., Cai S. A new approach for line recognition in large-size images using Hough transform. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. I. 2002:33-36.

Sonka M., Hlavac V., Boyle R. 2nd edition. Image Processing, Analysis and Machine Vision. Pacific Grove, CA: Brooks/Cole Publishing Company; 1999.

Spann M., Horne C., du Buf J.M.H. The detection of thin structures in images. Pattern Recogn. Lett.. 1989;10(no. 3):175-179.

Spence A., Robb M., Timmins M., Chantler M. Real-time per-pixel rendering of textiles for virtual textile catalogues. Proc. INTEDEC 2003. Edinburgh (September 22–24). 2003.

Spirkovska L., Reid M.B. Robust position, scale, and rotation invariant object recognition using higher-order neural networks. Pattern Recogn.. 1992;25(no. 9):975-985.

Srinivas M., Patnaik L.M. Genetic algorithms: a survey. IEEE Computer. 1994;27(no. 6):17-26.

Startchik S., Milanese R., Pun T. Projective and illumination invariant representation of disjoint shapes. Special Issue on Projection-Based Transforms. Image Vision Comput. 1998;nos. 9–10(16):713-723.

Steele J.M., Steiger W.L. Algorithms and complexity for least median of squares regression. Discrete Applied Math.. 1986;14:93-100.

Stella E., Lovergine F.P., D’Orazio T., Distante A. A visual tracking technique suitable for control of convoys. Patterns Recogn. Lett.. 1995;16(no. 9):925-932.

Stephens R.S. Probabilistic approach to the Hough transform. Image Vision Comput. 1991;9(no. 1):66-71.

Stevens K. Surface perception from local analysis of texture and contour. MIT Artif. Intell. Lab. Memo AI-TR-512. 1980.

Stockman G.C., Agrawala A.K. Equivalence of Hough curve detection to template matching. Comm. ACM. 1977;20:820-822.

Stone J.V. Shape from texture: textural invariance and the problem of scale in perspective images of textured surfaces. Proc. British Machine Vision Assoc. Conf. Oxford (September 24–27). 1990:181-186.

Straforini M., Coelho C., Campani M. Extraction of vanishing points from images of indoor and outdoor scenes. Image Vision Comput. 1993;11(no. 2):91-99.

Stroustrup B. 2nd edition. The C++ progragmming language. Reading, MA, USA: Addison-Wesley; 1991.

Sturm P. A case against Kruppa’s equations for camera self-calibration. IEEE Trans. Pattern Anal. Mach. Intell.. 2000;22(no. 10):1199-1204.

Sullivan G.D. Visual interpretation of known objects in constrained scenes. Phil. Trans. R. Soc. (London). 1992;B337:361-370.

Suzuki K., Horiba I., Sugie N. Neural edge enhancer for supervised edge enhancement from noisy images. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 12):1582-1596.

Tabandeh A.S., Fallside F. Artificial intelligence techniques and concepts for the integration of robot vision and 3D solid modellers. Proc. Int. Conf. on Intell. Autonomous Systems. Amsterdam (December 18–11). 1986.

Tan T.N. Structure, pose and motion of bilateral symmetric objects. Proc. 6th British Machine Vision Assoc. Conf. Birmingham (September 11–14). 1995:473-482.

Tan T.N., Sullivan G.D., Baker K.D. Recognizing objects on the ground-plane. Image Vision Comput.. 1994;12(no. 3):164-172.

Tang Y.Y., You X. Skeletonization of ribbon-like shapes based on a new wavelet function. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 9):1118-1133.

Tao W.-B., Tian J.-W., Liu J. Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm. Pattern Recogn. Lett.. 2003;24(no. 16):3069-3078.

Taylor J., Coombes S. Learning higher order correlations. Neural Networks. 1993;6:423-427.

Theil H., A rank-invariant method of linear and polynomial regression analysis (parts 1–3). Nederlandsche Akad. Wetenschappen Proc.. 1950;A53:386-392. Theil H., A rank-invariant method of linear and polynomial regression analysis (parts 1–3). Nederlandsche Akad. Wetenschappen Proc.. 1950;A53:521-525. Theil H. A rank-invariant method of linear and polynomial regression analysis (parts 1–3). Nederlandsche Akad. Wetenschappen Proc.. 1950;A53:1397-1412.

Theodoridis S., Koutroumbas K. Pattern Recognition. London: Academic Press; 1999.

Thomas A.D.H., Rodd M.G. Knowledge-based inspection of electric lamp caps. Engineering Applications of Artificial Intelligence. 1994;7(no. 1):31-37.

Thomas A.D.H., Rodd M.G., Holt J.D., Neill C.J. Real-time industrial visual inspection: a review. Real-Time Imaging. 1995;1(no. 2):139-158.

Tillett R.D., Onyango C.M., Marchant J.A. Using model-based image processing to track animal movements. Comput. Electron. Agric.. 1997;17:249-261.

Tissainayagam P., Suter D. Assessing the performance of corner detectors for point feature tracking applications. Image Vision Comput. 2004;22(no. 8):663-679.

Toennies K., Behrens F., Aurnhammer M. Feasibility of Hough-transform-based iris localisation for real-time application. Proc. 16th Int. Conf. on Pattern Recogn., Québec, Canada (August 11–15). Vol. II. 2002:1053-1056.

Torr P.H.C., Davidson C. IMPSAC: synthesis of importance sampling and random sample consensus. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 3):354-364.

Torr P.H.S., Fitzgibbon A.W. Invariant fitting of two view geometry or In defiance of the 8 point algorithm. Proc. British Machine Vision Assoc. Conf. Norwich, UK (September 9–11). 2003:83-92.

Torr P.H.S., Fitzgibbon A.W. Invariant fitting of two view geometry. IEEE Trans. Pattern Anal. Mach. Intell.. 2004;26(no. 5):648-650.

Torreão J.R.A. A Green’s function approach to shape from shading. Pattern Recogn.. 2001;34(no. 12):2367-2382.

Torreão J.R.A. Geometric-photometric approach to monocular shape estimation. Image Vision Comput.. 2003;21(no. 12):1045-1062.

Toulson D.L., Boyce J.F. Segmentation of MR images using neural nets. Image Vision Comput.. 1992;10(no. 5):324-328.

Trucco E., Verri A. Introductory Techniques for 3-D Computer Vision. Upper Saddle River, NJ: Prentice-Hall; 1998.

Tsai D.-M., Huang T.-Y. Automated surface inspection for statistical textures. Image Vision Comput.. 2003;21(no. 4):307-323.

Tsai D.-M., Hou H.-T., Su H.-J. Boundary based corner detection using eigenvalues of covariance matrices. Pattern Recogn. Lett.. 1999;20(no. 1):31-40.

Tsai F.C.D. A probabilistic approach to geometric hashing using line features. Comput. Vision Image Understanding. 1996;63(no. 1):182-195.

Tsai R.Y. An efficient and accurate camera calibration technique for 3D machine vision. Proc. Conf. on Comput. Vision Pattern Recogn. Miami, FL. 1986:364-374.

Tsai R.Y., Huang T.S. Uniqueness and estimation of three-dimensional motion parameters of rigid objects with curved surfaces. IEEE Trans. Pattern Anal. Mach. Intell.. 1984;6:13-27.

Tsang P.W.M. Enhancement of a genetic algorithm for affine invariant planar object shape matching using the migrant principle. IEE Proc. Image Vision Signal Process.. 2003;150(no. 2):107-113.

Tsang P.W.M., Yu Z. Genetic algorithm for model-based matching of projected images of three-dimensional objects. IEE Proc. Image Vision Signal Process. 2003;150(no. 6):351-359.

Tsuji S., Matsumoto F. Detection of ellipses by a modified Hough transform. IEEE Trans. Comput.. 1978;27:777-781.

Tsukune H., Goto K. Extracting elliptical figures from an edge vector field. Proc. IEEE Conf. on Computer Vision and Pattern Recogn. Washington, DC. 1983:138-141.

Tuckey C.O., Armistead W. Coordinate Geometry. London: Longmans, Green and Co. Ltd.; 1953.

Turin G.L. An introduction to matched filters. IRE Trans. Inf. Theory. 1960;6:311-329.

Turney J.L., Mudge T.N., Volz R.A. Recognizing partially occluded parts. IEEE Trans. Pattern Anal. Mach. Intell.. 1985;7:410-421.

Tytelaars T., Turina A., van Gool L. Noncombinatorial detection of regular repetitions under perspective skew. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 4):418-432.

Tzionas P. A cellular automaton processor for line and corner detection in gray-scale images. Real-Time Imaging. 2000;6(no. 6):461-470.

Uhr L. Recognition cones and some test results; the imminent arrival of well-structured parallel-serial computers; positions, and positions on positions. In: Hanson A.R., Riseman E.M. Computer Vision Systems. New York: Academic Press; 1978:363-377.

Uhr L. Psychological motivation and underlying concepts. In: Tanimoto S., Klinger A. Structured Computer Vision-Machine Perception through Hierarchical Computation Structures. London: Academic Press; 1980:1-30.

Ullman S. The Interpretation of Visual Motion. Cambridge, MA: MIT Press; 1979.

Ullmann J.R. Experiments with the n-tuple method of pattern recognition. IEEE Trans. Comput.. 1969;18:1135-1137.

Ullmann J.R. Pattern Recognition Techniques. London: Butterworth; 1973.

Ullmann J.R. Binarisation using associative addressing. Pattern Recogn.. 1974;6:127-135.

Ullmann J.R. An algorithm for subgraph isomorphism. J. ACM. 1976;23:31-42.

Umeyama S. An eigen decomposition approach to weighted graph matching problems. IEEE Trans. Pattern Anal. Mach. Intell.. 1988;10(no. 5):695-703.

Unger S.H. A computer orientated towards spatial problems. Proc. IRE. 1958;46:1744-1750.

Unser M. Local linear transforms for texture measurements. Signal Process.. 1986;11:61-79.

Unser M., Ade F. Feature extraction and decision procedure for automated inspection of textured materials. Pattern Recogn. Lett.. 1984;2(no. 3):185-191.

Unser M., Eden M. Multiresolution feature extraction and selection for texture segmentation. IEEE Trans. Pattern Anal. Mach. Intell.. 1989;11(no. 7):717-728.

Unser M., Eden M. Nonlinear operators for improving texture segmentation based on features extracted by spatial filtering. IEEE Trans. Systems Man Cybern.. 1990;20(no. 4):804-815.

Urriza I., Artigas J.I., Barragan L.A., Garcia J.I., Navarro D. VLSI implementation of discrete wavelet transform for lossless compression of medical images. Real-Time Imaging. 2001;7(no. 2):203-217.

Vaillant R., Monrocq C., Le Cun Y. Original approach for the localisation of objects in images. IEE Proc. Vision Image Signal Process.. 1994;141(no. 4):245-250.

Van Gool L., Dewaele P., Oosterlinck A. Survey: Texture analysis anno 1983. Comput. Vision Graph. Image Process.. 1985;29:336-357.

van Digellen J. Photometric investigations of the slopes and heights of the ranges of hills in the Maria of the moon. Bull. Astron. Inst. Netherlands. 1951;11:283-289.

van Dijck H., van der Heijden F. Object recognition with stereo vision and geometric hashing. Pattern Recogn. Lett.. 2003;24(nos. 1–3):137-146.

Van Gool L., Proesmans M., Zisserman A. Planar homologies as a basis for grouping and recognition. Special Issue on Geometric Modelling and Invariants for Computer Vision. Image Vision Comput. 1998;no. 1(16):21-26.

van Wyk M.A., Durrani T.S., van Wyk B.J. A RKHS interpolator-based graph matching algorithm. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 7):988-995.

VanderBrug G.J., Rosenfeld A. Two-stage template matching. IEEE Trans. Comput.. 1977;26:384-393.

Vapnik V.N. Statistical Learning Theory. New York: Wiley; 1998.

Veenman C.J., Reinders M.J.T., Backer E. A maximum variance cluster algorithm. IEEE Trans. Pattern Anal. Mach. Intell.. 2002;24(no. 9):1273-1280.

Vega I.R., Sarkar S. Statistical motion model based on the change of feature relationships: human gait-based recognition. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 10):1323-1328.

Vilnrotter F.M., Nevatia R., Price K.E. Structural analysis of natural textures. IEEE Trans. Pattern Anal. Mach. Intell.. 1986;8(no. 1):76-89.

Vistnes R. Texture models and image measures for texture discrimination. Int. J. Comput. Vision. 1989;3:313-336.

(translated by Southall, J.P.C.)von Helmholtz H. Treatise on Physiological Optics. Volumes 1–3. New York: Dover; 1925.

Voss R. Random fractals: characterization and measurement. In: Pynn R., Skjeltorp A. Scaling Phenomena in Disordered Systems. New York: Plenum, 1986.

Wagner G.G. Combining X-ray imaging and machine vision. Proc. SPIE. 1988;850:43-53.

Waltz D. Understanding line drawings of scenes with shadows. In: Winston P.H., editor. The Psychology of Computer Vision. New York: McGraw-Hill; 1975:19-91.

Wang C., Sun H., Yada S., Rosenfeld A. Some experiments in relaxation image matching using corner features. Pattern Recogn.. 1983;16:167.

Wang J.-G., Sung E. Gaze determination via images of irises. Image Vision Comput.. 2001;19(no. 12):891-911.

Wang J.-G., Sung E., Venkateswarlu R. Determining pose of a human face from a single monocular image. Proc. British Machine Vision Assoc. Conf. Norwich UK (September 9–11). 2003:103-112.

Wang L., Bai J. Threshold selection by clustering gray levels of boundary. Pattern Recogn. Lett.. 2003;24(no. 12):1983-1999.

Wang S., Haralick R.M. Automatic multithreshold selection. Comput. Vision Graph. Image Process.. 1984;25:46-67.

Wang S., Siskind J.M. Image segmentation with ratio cut. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 6):675-690.

Wang T., Zhuang X., Xing X. Robust segmentation of noisy images using a neural network model. Image Vision Comput.. 1992;10(no. 4):233-240.

Wang T.W., Evans J.P.O. Stereoscopic dual-energy X-ray imaging for target materials identification. IEE Proc. Vision, Image and Signal Process. 2003;150(no. 2):122-130.

Webb A. Statistical Pattern Recognition. Chichester, UK: Wiley; 2002.

Weiman C.F.R. Highly parallel digitised geometric transformations without matrix multiplication. Proc. Int. Joint. Conf. on Parallel Processing. 1976:1-10.

Weimer P.K. From camera tubes to solid-state sensors. RCA Rev.. 1975;36:385-405.

Werbos P.J. Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences. Ph.D. Thesis. Cambridge, MA: Harvard Univ.; 1974.

Wermser D., Liedtke C.-E. Texture analysis using a model of the visual system. Proc. 6th Int. Conf. on Pattern Recogn. Munich (October 19–22). 1982:1078-1081.

Wermser D., Haussmann G., Liedtke C.-E. Segmentation of blood smears by hierarchical thresholding. Comput. Vision Graph. Image Process.. 1984;25:151-168.

Weska J.S. A survey of threshold selection techniques. Comput. Graph. Image Process.. 1978;7:259-265.

Weska J.S., Rosenfeld A. An application of texture analysis to materials inspection. Pattern Recogn.. 1976;8:195-199.

Weska J.S., Rosenfeld A. Histogram modification for threshold selection. IEEE Trans. Systems Man Cybern.. 1979;9:38-52.

Weska J.S., Nagel R.N., Rosenfeld A. A threshold selection technique. IEEE Trans. Comput.. 1974;23:1322-1326.

Weszka J.S., Dyer C.R., Rosenfeld A. A comparative study of texture measures for terrain classification. IEEE Trans. Systems Man Cybern.. 1976;6(no. 4):269-285.

Whelan P.F., Molloy D. Machine Vision Algorithms in Java. New York: Springer; 2001.

White J.M., Rohrer G.D. Image thresholding for optical character recognition and other applications requiring character image extraction. IBM J. Res. Dev.. 1983;27:400-411.

Wiehler K., Heers J., Schnörr C., Stiehl H.S., Grigat R.-R. A one-dimensional analogue VLSI implementation for nonlinear real-time signal preprocessing. Real-Time Imaging. 2001;7(no. 1):127-142.

Wiejak J.S., Buxton H., Buxton B.F. Convolution with separable masks for early image processing. Comput. Vision Graph. Image Process.. 1985;32:279-290.

Will P.M., Pennington K.S. Grid coding: a preprocessing technique for robot and machine vision. Artif. Intell.. 1971;2:319-329.

Wilson H.R., Giese S.C. Threshold visibility of frequency gradient patterns. Vision Res.. 1977;17:1177-1190.

Wilson R.C., Hancock E.R. Structural matching by discrete relaxation. IEEE Trans. Pattern Anal. Mach. Intell.. 1997;19(no. 6):634-648.

Winston P.H., editor. The Psychology of Computer Vision. New York: McGraw-Hill, 1975.

Witkin A.P. Recovering surface shape and orientation from texture. Artif. Intell.. 1981;17:17-45.

Witkin A.P. Scale-space filtering. Proc. 4th Int. Joint. Conf. on Artif. Intell. Tbilisi. Georgi, USSR. 1983:1019-1022.

Wolfson H.J. Generalizing the generalized Hough transform. Pattern Recogn. Lett.. 1991;12(no. 9):565-573.

Wong R.Y., Hall E.L. Scene matching with invariant moments. Comput. Graph. Image Process.. 1978;8:16-24.

Woodham R.J. Reflectance map techniques for analysing surface defects in metal castings. MIT Artif. Intell. Lab. Memo AI-TR-457. 1978.

Woodham R.J. Photometric method for determining surface orientation from multiple images. Opt. Eng.. 1980;19:139-144.

Woodham R.J. Analysing images of curved surfaces. Artif. Intell.. 1981;17:117-140.

Woods J.W. Two-dimensional discrete Markovian fields. IEEE Trans. Inf. Theory. 1972;18:232-240.

Worrall A.D., Baker K.D., Sullivan G.D. Model based perspective inversion. Image Vision Comput.. 1989;7:17-23.

Wu A.Y., Hong T.-H., Rosenfeld A. Threshold selection using quadtrees. IEEE Trans. Pattern Anal. Mach. Intell.. 1982;4:90-94.

Wu H., Yoshikawa G., Shioyama T., Lao S., Kawade M. Glasses frame detection with 3D Hough transform. Proc. 16th Int. Conf. on Pattern Recogn., Québec Canada (August 11–15). Vol. II. 2002:346-349.

Wu Z.-Q., Rosenfeld A. Filtered projections as an aid in corner detection. Pattern Recong.. 1983;16:31-38.

Xie Y., Ji Q. A new efficient ellipse detection method. Proc. 16th Int. Conf. on Pattern Recogn Quéeec, Canada (August 11–15). Vol. II. 2002:957-960.

Xu L., Oja E. Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities. Computer Vision Graph. Image Process. Image Understanding. 1993;57(no. 2):131-154.

Yan C., Sang N., Zhang T. Local entropy-based transition region extraction and thresholding. Pattern Recogn. Lett.. 2003;24(no. 16):2935-2941.

Yang G.J., Huang T.S. The effect of median filtering on edge location estimation. Comput. Graph. Image Process.. 1981;15:224-245.

Yang J., Li X. Boundary detection using mathematical morphology. Pattern Recogn. Lett.. 1995;16(no. 12):1277-1286.

Yang J.-D., Chen Y.-S., Hsu W.-H. Adaptive thresholding algorithm and its hardware implementation. Pattern Recogn. Lett.. 1994;15(no. 2):141-150.

Yang M.-T., Gandhi T., Kasturi R., Coraor L., Camps O., Candless J. Realtime implementation of obstacle detection algorithms on a Datacube MaxPCI architecture. Real-Time Imaging. 2002;8(no. 2):157-172.

Yazdi, H.R., and King, T.G. (1998) Application of “Vision in the Loop” for inspection of lace fabric. In Davies, E.R. and Ip, H.H.S., (eds.) (1998), pp. 317–332.

Yin L., Astola J., Neuvo Y. A new class of nonlinear filters—neural filters. IEEE Trans. Signal Process.. 1993;41(no. 3):1201-1222.

Yitzhaky Y., Peli E. A method for objective edge detection evaluation and detector parameter selection. IEEE Trans. Pattern Anal. Mach. Intell.. 2003;25(no. 8):1027-1033.

Yoon J.J., Koch C., Ellis T.J. Shadowflash: an approach for shadow removal in an active illumination environment. Proc. British Machine Vision Assoc. Conf. Cardiff, UK (September 2–5). 2002:636-645.

Yuen H.K., Illingworth J., Kittler J. Ellipse detection using the Hough transform. Proc. 4th Alvey Vision Conf. Manchester (August 31–September 2). 1988:265-271.

Yuen H.K., Princen J., Illingworth J., Kittler J. A comparative study of Hough transform methods for circle finding. Proc. 5th Alvey Vision Conf. Reading (September 25–28). 1989:169-174.

Yuille A., Poggio T.A. Scaling theorems for zero crossings. IEEE Trans. Pattern Anal. Mach. Intell.. 1986;8:15-25.

Yuille A.L., Kammen D.M., Cohen D.S. Quadrature and the development of orientation selective cortical cells by Hebb rules. Biol. Cybern.. 1989;61:183-194.

Zahn C.T., Roskies R.Z. Fourier descriptors for plane closed curves. IEEE Trans. Comput.. 1972;21:269-281.

Zayas I.Y., Flinn P.W. Detection of insects in bulk wheat samples with machine vision. Trans. Amer. Soc. Agric. Eng.. 1998;41(no. 3):883-888.

Zayas I.Y., Steele J.L. Image analysis applications for grain science. Optics in Agric., SPIE. 1990;1379:151-161.

Zhang G., Wei Z. A position-distortion model of ellipse centre for perspective projection. Measurement Sci. Technol.. 2003;14:1420-1426.

Zhang J., Modestino J.W. A model-fitting approach to cluster validation with application to stochastic model-based image segmentation. IEEE Trans. Pattern Anal. Mach. Intell.. 1990;12(no. 10):1009-1017.

Zhang Z. Motion and structure of four points from one motion of a stereo rig with unknown extrinsic parameters. IEEE Trans. Pattern. Anal. Mach. Intell.. 1995;17(no 12):1222-1227.

Zheng Z., Wang H., Teoh E.K. Analysis of gray level corner detection. Pattern Recogn. Lett.. 1999;20(no. 2):149-162.

Zhou H., Wallace A.M., Green P.R. A multistage filtering technique to detect hazards on the ground plane. Pattern Recogn. Lett.. 2003;24:1453-1461.

Zhuang X., Haralick R.M. Morphological structuring element decomposition. Comput. Vision Graph. Image Process.. 1986;35:370-382.

Zielke T., Braukermann M., von Seelen W. Intensity and edge-based symmetry detection with an application to car-following. Comput. Vision Graph. Image Process.: Image Understanding. 1993;58(no. 2):177-190.

Zisserman A., Marinos C., Forsyth D.A., Mundy J.L., Rothwell C.A. Relative motion and pose from invariants. Proc. 1st British Machine Vision Assoc. Conf. Oxford (September 24–27). 1990:7-12.

Zucker S.W. Toward a model of texture. Comput. Graph. Image Process.. 1976;5:190-202.

Zucker S.W. Region growing: childhood and adolescence. Comput. Graph. Image Process.. 1976;5:382-399.

Zuniga O.A., Haralick R.M. Corner detection using the facet model. Proc. IEEE Comput. Vision Pattern Recogn. Conf. 1983:30-37.

Zuniga O.A., Haralick R.M. Integrated directional derivative gradient operator. IEEE Trans. Pattern Anal. Mach. Intell.. 1987;17:508-517.