計(jì)算機(jī)視覺(jué)特征提取與圖像處理（第3版 英文版）

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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