
eBook - ePub
Feature Extraction and Image Processing for Computer Vision
- 650 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Feature Extraction and Image Processing for Computer Vision
About this book
Feature Extraction for Image Processing and Computer Vision 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. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms." 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.
- 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 and Python
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Feature Extraction and Image Processing for Computer Vision by Mark Nixon,Alberto Aguado,Alberto S. Aguado in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Preface
- 1. Introduction
- 2. Images, sampling and frequency domain processing
- 3. Image processing
- 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. Region-based analysis
- 9. Moving object detection and description
- 10. Camera geometry fundamentals
- 11. Colour images
- 12. Distance, classification and learning
- Index