Feature Extraction and Image Processing for Computer Vision, 4th edition
Mark Nixon, University of Southampton;
Alberto Aguado, Foundry London
Academic Press, 2020
ISBN: 9780128149768;
Language: English
Feature Extraction for Image Processing and Computer Vision, 4th edition is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. 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.
Key Features
- The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods
- A thorough overview of available feature extraction methods including essential background theory, shape methods, texture, and deep learning
- Up to date coverage of interest point detection, feature extraction, and description and image representation (including frequency domain and colour)
- Good balance between providing a mathematical background and practical implementation
- Detailed and explanatory of algorithms in MATLAB
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