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Feature Extraction and Image Processing Second Edition
Whilst other books cover a broad range of topics, "Feature Extraction and Image Processing" takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text,
the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab. It is essential reading for engineers and students working in this cutting-edge field. It is an ideal module text and background reference for courses in image processing and computer vision. A companion website includes worksheets, links to free software, Matlab files and solutions.
CONTENTS:
1. Introduction
2. Images, sampling and frequency domain processing
3. Basic image processing operations
4. Low-level feature extraction (including edge detection)
5. Feature extraction by shape matching
6. Flexible shape extraction (snakes and other techniques)
7. Object description
8. Introduction to texture description, segmentation and classification
9. Appendix 1: Example worksheets
10. Appendix 2: Camera geometry fundamentals
11. Appendix 3: Least square analysis
12. Appendix 4: Principal components analysis
INDEX
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