COMPUTER AND MACHINE VISION: THEORY, ALGORITHMS, PRACTICALITIES 4/E

1 Vision, the Challenge
2 Images and Imaging Operations
3 Basic Image Filtering Operations
4 Thresholding Techniques
5 Edge Detection
6 Corner and Interest Point Detection
7 Mathematical Morphology
8 Texture
9 Binary Shape Analysis
10 Boundary Pattern Analysis
11 Line Detection
12 Circle and Ellipse Detection
13 The Hough Transform and Its Nature
14 Abstract Pattern Matching Techniques
15 The Three-Dimensional World
16 Tackling the perspective n-point problem
17 Invariants and perspective
18 Image transformations and camera calibration
19 Motion
20 Automated Visual Inspection
21 Inspection of Cereal Grains
22 Surveillance
23 In-Vehicle Vision Systems24 Statistical Pattern Recognition
25 Image Acquisition
26 Real-Time Hardware and Systems Design Considerations
27 Epilogue-Perspectives in Vision
Appendix Robust statistics
References
Author Index
Subject Index

1 Vision, the Challenge
2 Images and Imaging Operations
3 Basic Image Filtering Operations
4 Thresholding Techniques
5 Edge Detection
6 Corner and Interest Point Detection
7 Mathematical Morphology
8 Texture
9 Binary Shape Analysis
10 Boundary Pattern Analysis
11 Line Detection
12 Circle and Ellipse Detection
13 The Hough Transform and Its Nature
14 Abstract Pattern Matching Techniques
15 The Three-Dimensional World
16 Tackling the perspective n-point problem
17 Invariants and pe...