本书是由英国南安普顿大学的Mark Nixon教授和Sportradar公司的Alberto S.
Aguado在第二版的基础上,于2012年9月推出的最新改版之作(第3版)。本次改版,主要的变化是将高级特征提取,分为固定形状匹配与可变形形状分析两部分,并增加了新的一章内容:运动对象检测与描述。具体地,在简要介绍计算机视觉的基础概念和基本的图像处理运算后,重点讨论了低级和高级的特征提取,包括边缘检测、固定形状匹配和可变形形状分析。
目錄:
Contents
Preface xi
About the authors xvii
CHAPTER 1 Introduction
1.1 Overview
1.2 Human and computer vision
1.3 The human vision system
1.3.1 The eye.
1.3.2 The neural system
1.3.3 Processing
1.4 Computer vision systems
1.4.1 Cameras
1.4.2 Computer interfaces
1.4.3 Processing an image
1.5 Mathematical systems
1.5.1 Mathematical tools
1.5.2 Hello Matlab, hello images!
1.5.3 Hello Mathcad!
1.6 Associated literature
1.6.1 Journals, magazines, and conferences
1.6.2 Textbooks
1.6.3 The Web
1.7 Conclusions
1.8 References
CHAPTER 2 Images, Sampling, and Frequency Domain
Processing
2.1 Overview
2.2 Image formation.
2.3 The Fourier transform
2.4 The sampling criterion
2.5 The discrete Fourier transform
2.5.1 1D transform
2.5.2 2D transform
2.6 Other properties of the Fourier transform
2.6.1 Shift invariance
2.6.2 Rotation
2.6.3 Frequency scaling
2.6.4 Superposition linearity
2.7 Transforms other than Fourier
2.7.1 Discrete cosine transform
2.7.2 Discrete Hartley transform
2.7.3 Introductory wavelets
2.7.4 Other transforms
2.8 Applications using frequency domain properties
2.9 Further reading
2.10 References
CHAPTER 3 Basic Image Processing Operations
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