機器視覺：理論、算法與實踐（英文版·第3版）

CHAPTER 1　Vision, the Challenge
PART 1　LOW-LEVELVISION　
CHAPTER 2　Images and Imaging Operations
CHAPTER 3　Basic Image Filtering Operations
CHAPTER 4　Thresholding Techniques
CHAPTER 5　Edge Detection
CHAPTER 6　Binary Shape Analysis
CHAPTER 7　Boundary Pattern Analysis
CHAPTER 8　Mathematical Morphology
PART 2　INTERMEDIATE-LEVELVISION　
CHAPTER 9　Line Detection
CHAPTER 10　Circle Detection
CHAPTER 11　The Hough Transform and Its Nature
CHAPTER 12　Ellipse Detection
CHAPTER 13　Hole Detection
CHAPTER 14　Polygon and Corner Detection
CHAPTER 15　Abstract Pattern Matching Techniques
PART 3　3-DVISION AND MOTION　443
CHAPTER 16　The Three-dimensional World
CHAPTER 17　Tackling the Perspective n-Point Problem
CHAPTER 18　Motion
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 RECOGNITIONS YSTEMS　
CHAPTER 22　Automated Visual Inspection
CHAPTER 23　Inspection of Cereal Grains
CHAPTER 24　Statistical Pattern Recognition
CHAPTER 25　Biologically Inspired Recognition Schemes
CHAPTER 26　Texture
CHAPTER 27　Image Acquisition
CHAPTER 28　Real-time Hardware and Systems Design Considerations
PART 5　PERSPECTIVES ON VISION　
CHAPTER 29　Machine Vision: Art or Science?
APPENDIX　Robust Statistics
List of Acronyms and Abbreviations　
References　
Author Index　
Subject Index