1Introduction to Image Analysis
1.1Image and Image Engineering
1.2The Scope of Image Analysis
1.2.1Definition and Research Content of Image Analysis
1.3Digitization in Image Analysis
1.4.2Computation of Local Distances
1.4.3Implementation of Discrete Distance Transformation
2.1Definition and Classification
2.1.1Definition of Segmentation
2.1.2Classification of Algorithms
2.2.1Boundary-Based Parallel Algorithms
2.2.2Boundary-Based Sequential Algorithms
2.2.3Region-based Parallel Algorithms
2.2.4Region-based Sequential Algorithms
2.3.1Extending 2-D Algorithms to 3-D
2.3.2Generalization of Some Techniques
2.4.1A Survey on Evaluation Methods
2.4.2An Effective Evaluation Method
3Object Representation and Description
3.1Classification of Representation and Description
3.2Boundary-Based Representation
3.2.1Taxonomy of Boundary-Based Representation
3.3Region-Based Representation
3.3.1Taxonomy of Region-Based Representation
3.4Transform-Based Representation
3.4.2Fourier Boundary Representation
3.5.1Some Straightforward Descriptors
4Feature Measurement and Error Analysis
4.1Direct and Indirect Measurements
4.2.3Statistical Error and Systematic Error
4.3.1Boundary Points and Internal Points
4.3.2Object Points and Background Points
4.3.3Separating Connected Components
4.4.1Different Factors Influencing Measurement Accuracy
4.4.2Influence of Optical Lens Resolution
4.4.3Influence of Sampling Density
4.4.4Influence of Segmentation
4.4.5Influence of Computation Formulas
4.5.1Upper and Lower Bounds of an 8-Digital Straight Segment
5.1Concepts and Classification
5.1.2Research and Application Related to Texture
5.1.3Approaches for Texture Analysis
5.2.2Descriptors Based on a Gray-Level Co-occurrence Matrix
5.2.3Law’s Texture Energy Measurements
5.3.2Typical Structural Methods
5.5.1Supervised Texture Segmentation
5.5.2Unsupervised Texture Segmentation
5.5.3Texture Classification Based on Wavelet Transformation
6.2Different Classes of 2-D Shapes
6.3Description of Shape Property
6.4Technique-Based Descriptors
6.4.1Polygonal Approximation-Based Shape Descriptors
6.4.2Curvature-Based Shape Descriptors
6.5Wavelet Boundary Descriptors
6.5.1Definition and Normalization
6.5.2Properties of the Wavelet Boundary Descriptor
6.5.3Comparisons with Fourier Descriptors
6.6.2The Box-Counting Approach
6.6.3Implementing the Box-Counting Method
7.1The Purpose and Subject of Motion Analysis
7.1.2Locating and Tracking Moving Objects
7.1.3Moving Object Segmentation and Analysis
7.1.4Three-Dimensional Scene Reconstruction and Motion Understanding
7.2.1Motion Detection Using Image Differences
7.2.2Model-Based Motion Detection
7.3.3Detecting Specific Movement Pattern
7.4.1Object Segmentation and Motion Information Extraction
7.4.2Dense Optical Flow Algorithm
7.4.3Parameter and Model-Based Segmentation
7.5.2Subsequences Decision Strategy
8.1Basic Operations of Binary Morphology
8.1.1Binary Dilation and Erosion
8.1.2Binary Opening and Closing
8.2Combined Operations of Binary Morphology
8.2.2Binary Composition Operations
8.3Practical Algorithms of Binary Morphology
8.3.4Object Detection and Localization
8.3.6Extraction of Connected Components
8.3.7Calculation of Region Skeleton
8.4Basic Operations of Grayscale Morphology
8.4.1Grayscale Dilation and Erosion
8.4.2Grayscale Opening and Closing
8.5Combined Operations of Grayscale Morphology
8.5.3Top Hat Transform and Bottom Hat Transform
8.5.5Soft Morphological Filters
8.6Practical Algorithms of Grayscale Morphology
8.6.1Background Estimation and Elimination
8.6.2Morphological Edge Detection
8.6.3Cluster Fast Segmentation
Answers to Selected Problems and Questions
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