Table of Contents
Chapter 1: Vision, the Challenge
Chapter 2: Images and Imaging Operations
Basic Image Filtering Operations
Chapter 3: Basic Image Filtering Operations
Chapter 4: Thresholding Techniques
Chapter 6: Binary Shape Analysis
Chapter 7: Boundary Pattern Analysis
Chapter 8: Mathematical Morphology
Part 2: Intermediate-Level Vision
The Hough Transform and Its Nature
Chapter 11: The Hough Transform and Its Nature
Chapter 14: Polygon and Corner Detection
Abstract Pattern Matching Techniques
Chapter 15: Abstract Pattern Matching Techniques
Chapter 16: The Three-Dimensional World
Tackling the Perspective n-point Problem
Chapter 17: Tackling the Perspective n-point Problem
Invariants and Their Applications
Chapter 19: Invariants and Their Applications
Chapter 20: Egomotion and Related Tasks
Chapter 21: Image Transformations and Camera Calibration
Part 4: Toward Real-Time Pattern Recognition Systems
Chapter 22: Automated Visual Inspection
Chapter 23: Inspection of Cereal Grains
Statistical Pattern Recognition
Chapter 24: Statistical Pattern Recognition
Biologically Inspired Recognition Schemes
Chapter 25: Biologically Inspired Recognition Schemes
Real-Time Hardware and Systems Design Considerations
Chapter 28: Real-Time Hardware and Systems Design Considerations
Part 5: Perspectives on Vision
Chapter 29: Machine Vision: Art or Science?