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Fully updated with the latest developments in feature extraction, including expanded tutorials ...
Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended.
The title has been updated from the previous edition to reflect the computer vision focus of the new edition; this is the only book to focus on feature extraction in a computer vision context.
* Essential reading for engineers and students working in this cutting edge field * Ideal module text and background reference for courses in image processing and computer vision * The only currently-available text to concentrate on feature extraction with working implementation and worked through derivation
Audience: Undergraduate electronic engineers and computer scientists. Postgraduates taking courses in artificial intelligence, computer vision, image processing and CAD. Postgraduate and professional psychologists.
Preface 1. Introduction 2. Images, Sampling and Frequency Domain Processing 3. Basic Image Processing Operations 4. Low-Level Feature Extraction (including Edge Detection) 5. High-Level Feature Extraction: Fixed Shape Matching 6. High-Level Feature Extraction: Deformable Shape Analysis 7. Object Description 8. Introduction to Texture Description, Segmentation and Classification 9. Moving Object Detection and Description 10. Appendix 1: Camera Geometry Fundamentals 11. Appendix 2: Least Squares Analysis 12. Appendix 3: Principal Components Analysis 13. Appendix 4: Colour Images References Index