Computer and Machine Vision: Theory, Algorithms, Practicalities (Hardcover, 4, Revised)

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 Index