Feature Extraction and Image Processing for Computer Vision
- 5th Edition - September 22, 2025
- Authors: Mark Nixon, Alberto Aguado
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 6 6 8 6 - 4
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 6 6 8 7 - 1
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 t… Read more
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.
- Concentrates on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods
- Provides a thorough overview of available feature extraction methods, including essential background theory, shape methods, texture and deep learning
- Includes up-to-date coverage of interest point detection, feature extraction and description, and image representation (including frequency domain and color)
- Includes a good balance between providing a mathematical background and practical implementation
Researchers and graduate students in computer vision, image and video processing
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 shape analysis
7. High Level Feature Extraction: Deformable Shape Analysis
8. Object Description
9. Filtering/denoising and region-based analysis
10. Moving Object Detection, Description and Tracking
11. Camera Geometry Fundamentals
12. Colour Images
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 shape analysis
7. High Level Feature Extraction: Deformable Shape Analysis
8. Object Description
9. Filtering/denoising and region-based analysis
10. Moving Object Detection, Description and Tracking
11. Camera Geometry Fundamentals
12. Colour Images
- Edition: 5
- Published: September 22, 2025
- Language: English
MN
Mark Nixon
Mark Nixon is the Professor in Computer Vision at the University of Southampton UK. His research interests are in image processing and computer vision. His team develops new techniques for static and moving shape extraction which have found application in biometrics and in medical image analysis. His team were early workers in automatic face recognition, later came to pioneer gait recognition and more recently joined the pioneers of ear biometrics. With Tieniu Tan and Rama Chellappa, their book Human ID based on Gait is part of the Springer Series on Biometrics and was published in 2005. He has chaired/ program chaired many conferences (BMVC 98, AVBPA 03, IEEE Face and Gesture FG06, ICPR 04, ICB 09, IEEE BTAS 2010) and given many invited talks. Dr. Nixon is a Fellow IET and a Fellow IAPR.
Affiliations and expertise
Professor of Electronics and Computer Science, University of Southampton, UKAA
Alberto Aguado
Alberto Aguado is a principal algorithm researcher and developer at Foundry London were he works developing Image Processing, Computer Vision and rendering technologies for video production. Previously, he was head of research on animation technologies at Natural Motion. He developed image processing technologies for sport tracking at Sportradar. He worked as developer for Electronic Arts and for Black Rock Disney Game Studios. He gained academic experience as a Lecturer in the Centre for Vision, Speech and Signal Processing in the University of Surrey. He pursued a postdoctoral fellowship in Computer Vision at INRIA Rhône-Alpes (Marie Curie fellowship) and he received his PhD in Computer Vision /Image Processing from the University of Southampton.
Affiliations and expertise
Principal Programmer, Sportradar, Brighton, UK