Feature Extraction & Image Processing - 2nd Edition

Feature Extraction & Image Processing

2nd Edition

Authors: Mark Nixon
Imprint: Academic Press
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Table of Contents

1 Introduction
1.1 Human and Computer Vision
1.2 The Human Vision System
1.2.1 The Eye
1.2.2 The Neural System
1.2.3 Processing
1.3 Computer Vision Systems
1.3.1 Cameras - review and update
1.3.2 Computer Interfaces - compress
1.3.3 Processing an Image
1.4 Mathematical Systems
1.4.1 Mathematical Tools
1.4.2 Hello Mathcad, Hello Images! - compress
1.4.3 Hello Matlab! - update
1.5 Associated Literature
1.5.1 Journals and Magazines - review and update
1.5.2 Textbooks - review and update
1.5.3 The Web - review and update
1.6 Chapter 1 References - review and update

2 Images, Sampling and Frequency Domain Processing
2.1 Image Formation (n.b. new Appendix material)
2.2 The Fourier Transform
2.3 The Sampling Criterion
2.4 The Discrete Fourier Transform (DFT)
2.4.1 One Dimensional Transform
2.4.2 Two Dimensional Transform
2.5 Other Properties of the Fourier Transform
2.5.1 Shift Invariance
2.5.2 Rotation
2.5.3 Frequency Scaling
2.5.4 Superposition (Linearity)
2.6 Transforms other than Fourier
2.6.1 Discrete Cosine Transform
2.6.2 Discrete Hartley Transform
2.6.3 Introductory Wavelets; The Gabor Wavelet
2.6.4 Other Transforms - review and update
2.7 Applications using Frequency Domain Properties
2.8 Further Reading
2.9 Chapter 2 References - review and update

3 Basic Image Processing Operations
3.1 Histograms
3.2 Point Operators<BR id=""CR


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.

Key Features

  • Essential reading for engineers and students working in this cutting edge field
  • Ideal module text and background reference for courses in image processing and computer vision


  • Undergraduates studying Electrical/Electronic Engineering, Computer Engineering, Computer Science, Software Engineering (to accompany specific modules or as supplementary / further reading)
  • Postgraduate students and researchers in Computer Vision and Image Processing (adoption potential for MSc / MEng courses)
  • Industry researchers and professionals using computer vision and image processing technology and wanting to get up to speed with social and industrial applications of the technology (eg. medical, industrial inspection, geographic studies)


Academic Press
eBook ISBN:

About the Authors

Mark Nixon Author

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 at the University of Southampton, UK.