Feature Extraction and Image Processing for Computer Vision, Fifth Edition is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated, providing a link between theory and implementation. Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.
1. Introduction
2. Images, sampling and frequency domain processing
3. Image processing
4. Distance Classification and Deep Learning
5. Low-level feature extraction (including Edge Detection)
6. High-level feature extraction: Fixed matching
7. High Level Feature Extraction: Deformable Shape Analysis
8. Object Description
9. Region Based Analysis
10. Moving Object Detection Description and Tracking
11. Camera Geometry Fundamentals
12. Colour Image Analysis
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