数字图像处理（英文影印版）|大学计算机教育国外著名教材系列（影印版）|Kenneth R. Castleman|清华大学出版社

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数字图像处理（英文影印版）

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原书名：Digital Image Processing	原出版社：Pearson Education
作者： Kenneth R. Castleman	出版社：清华大学出版社
译者：	丛书名：大学计算机教育国外著名教材系列（影印版）
出版日期：2003-11-1	上架日期：2005-10-8
ISBN：730207464x	页数：版次：1-1
开本：16开	装帧：

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| 大封面 | 封底 | 前言 | 内容简介 | 序言 | 目录 | 作者简介 | 译者简介 | 作者序 | 译者序 |

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内容简介
“大学计算机教育国外著名教材系列（影印版）”专题

本书特别重视如何将理论应用于解决工业或研究中常见的实际问题。全书22章，分别为：图像及其数字处理，图像数字化，数字图像显示，图像处理软件，灰度直方图，点运算，代数运算，几何运算，线性系统理论，傅里叶变换，滤波器设计，采样数据处理，离散图像变换，小波变换，光学系统分析，图像复原，图像压缩，模式识别（i）-图像分割，模式识别（ii）-物体测量，模式识别（iii）-分类与估计，彩色和多光谱图像处理，三维图像处理（包括医学图像处理）。书末有术语解释以及大量参考文献（书目和研究论文）。
本书不仅可作为大学高年级学生和研究生的教材，而且也是从事数字图像研究和开发极有用的参考资料。

目录
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PREFACE     xiii
Part One
1  IMAGES AND DIGITAL PROCESSING
1.1   Introduction  1
1.2   The Elements of Digital Image Processing
1.3   Philosophical Considerations  7
1.4   Digital Image Processing in Practice  10
Problems  11
References  11

2   DIGITIZING IMAGES       13
2.1   Introduction  13
2.2   Characteristics of an Image Digitizer  14
2.3   Types of Image Digitizers  15
2.4   Image-Digitizing Components  16
2.5   Electronic Image Tube Cameras  21
2.6   Solid-State Cameras  24
2.7   Film Scanning  28
2.8   Summary of Important Points  33
Problems  34
Projects  35
References  35

3   DIGITAL IMAGE DISPLAY    37
3.1   Introduction  37
3.2  Display Characteristics  39
3.3   Volatile Displays  49
3.4  Permanent Displays  49
3.5   Summary of Important Points  52
Problems  53
Projects  53
References  53

4  IMAGE-PROCESSING SOFTWARE   56
4.1   Introduction  55
4.2   Image-Processing Systems  56
4.3   The User Interface  57
4.4   The Software Development Process  61
4.5   Summary of Important Points  68
Problems  68
Projects  69
References  69

5   THE GRAY-LEVEL HISTOGRAM  71
5.1   Introduction  71
5.2   Uses of the Histogram  75
5.3   Relationship Between Histogram and Image  77
5.4   Summary of Important Points  80
Problems  80
Projects  80
References  81

6      POINT OPERATIONS  83
6.1   Introduction  83
6.2   Point Operations and the Histogram  86
6.3   Applications of Point Operations  91
6.4   Summary of Important Points  96
Problems  97
Projects  99
7 ALGEBRAIC OPERATIONS  101
7.1   Introduction  101
7.2   Algebraic Operations and the Histogram  102
7.3   Applications of Algebraic Operations  106
7.4   Summary of Important Points  112
Problems  112
Projects  113

8   GEOMETRIC OPERATIONS   115
8.1   Introduction  115
8.2   Gray-Level Interpolation  117
8.3  The Spatial Transformation  120
8.4   Applications of Geometric Operations  125
8.5   Summary of Important Points  137
Problems  137
Projects  139
References  140

Part Two
9  LINEAR SYSTEM THEORY   143
9.1   Introduction  143
9.2   Harmonic Signals and Complex Signal Analysis  145
9.3   The Convolution Operation  148
9.4   Some Useful Functions  158
9.5   Convolution Filtering  163
9.6   Conclusion  166
9.7   Summary of Important Points  167
Problems  167
Projects  168
References  169

10   THE FOURIER TRANSFORM   171
10.1  Introduction  171
10.2  Properties of the Fourier Transform  178
10.3  Linear Systems and the Fourier Transform  186
10.4  The Fourier Transform in Two Dimensions  193
10.5  Correlation and the Power Spectrum  201
10.6  Summary of Fourier Transform Properties  203
10.7  Summary of Important Points  203
Problems  205
Projects  206
References  206

11  FILTER DESIGN   207
11.1  Introduction  207
11.2  Lowpass Filters  207
11.3  Bandpass and Bandstop Filters  209
11.4  High-Frequency Enhancement Filters  212
11.5  Optimal Linear Filter Design  216
11.6 Order Statistic Filters  247
11.7  Summary of Important Points  250
Problems  250
Projects  251
References  251

12  PROCESSING SAMPLED DATA    253
12.1  Introduction  253
12.2  Sampling and Interpolation  253
12.3 Computing Spectra  262
12.4  Aliasing  264
12.5  Truncation  266
12.6  Digital Processing  269
12.7  Controlling Aliasing Error  273
12.8  Digitally Implemented Linear Filtering  275
12.9  Summary of Important Points  277
Problems  277
Projects  278
References  279

13  DISCRETE IMAGE TRANSFORMS   281
13.1  Introduction  281
13.2  Linear Transformations  282
13.3  Basis Functions and Basis Images  285
13.4  Sinusoidal Transforms  286
13.5  Rectangular Wave Transforms  290
13.6 Eigenvector-Based Transforms  294
13.7  Transform Domain Filtering  299
13.8  Summary of Important Points  300
Problems  301
Projects  301
References  301

14 WAVELET TRANSFORMS  303
14.1  Introduction  303
14.2  The Continuous Wavelet Transform  308
14.3  The Wavelet Series Expansion  312
14.4 The Discrete Wavelet Transform  314
14.5  Wavelet Selection  343
14.6  Applications  345
14.7  Summary of Important Points  346
Problems  347
Projects  348
References  348

15  OPTICS AND SYSTEM ANALYSIS   351
15.1  Introduction  351
15.2  Optics and Imaging Systems  353
15.3 Diffraction-Limited Optical Systems  357
15.4  Imaging System Aberrations  366
15.5  Imaging System Resolution  368
15.6 The Analysis of Complete Systems  371
15.7  Examples  377
15.8  Summary of Important Points  381
Problems  383
Projects  385
References  385

Part Three
16  IMAGE RESTORATION  387
16.1  Introduction  387
16.2  Classical Restoration Filters  388
16.3  Linear Algebraic Restoration  393
16.4  Restoration of Less Restricted Degradations  397
16.5  Superresolution  403
16.6 System Identification  408
16.7  Noise Modeling  414
16.8  Implementation  416
16.9  Summary of Important Points  425
Problems  426
Projects  428
References  428

17  IMAGE COMPRESSION  431
17.1  Introduction  431
17.2  Lossless Compression Techniques  432
17.3  Lossy Image Coding  435
17.4  Transform Image Coding  438
17.5 Image Compression Standards  441
17.6  Summary of Important Points  442
Problems  443
Projects  443
References  444

18  PATTERN RECOGNITION: IMAGE SEGMENTATION    447
[8.1.  [atroductiort  447
18.2  The Image Segmentation Process  450
18.3  Image Segmentation by Thresholding  452
18.4  Gradient-Based Segmentation Methods  460
18.5  Edge Detection and Linking  464
18.6  Region Growing  468
18.7  Binary Image Processing  470
18.8  Segmented Image Structure  478
18.9  Summary of Important Points  482
Problems  482
Projects  483
References  483

19  PATTERN RECOGNITION: OBJECT MEASUREMENT  487
19.1  Introduction  487
19.2  Size Measurements  487
19.3  Shape Analysis  492
19.4  Texture Analysis  499
19.5  Curve and Surface Fitting  501
19.6  Summary of Important Points  507
Problems  507
Projects  509
References  509

20 PATTERN RECOGNITION:CLASSIFICATION AND ESTIMATION    513
20.1  Introduction  513
20.2  Classification  513
20.3  Feature Selection  515
20.4 Statistical Classification  518
20.5  Neural Networks  527
20.6  Proportion Estimation  538
20.7  Summary of Important Points  542
Problems  543
Projects  544
References  544

21    COLOR AND MULTISPECTRAI. IMAGE PROCESSING  547
21.1  Introduction  547
21.2 Multispectral Image Analysis  548
21.3  Color Image Processing  548
21.4  Summary of Important Points  561
Problems  561
Projects  562
References  562

22 THREE-DIMENSIONAL IMAGE PROCESSING   563
22.1  Introduction  563
22.2  Three-Dimensional Imaging  566
22.3  Computerized Axial Tomography  582
22.4  Stereometry  585
22.5  Stereoscopic Image Display  590
22.6  Shaded Surface Display  593
22.7  Summary of Important Points  599
Problems  599
Projects  600
References  601

A1  GLOSSARY OF IMAGE PROCESSING TERMS  603
A2  BIBLIOGRAPHY   611
A2.1 Books  611
A2.2 Research Papers  621
A3  MATHEMATICAL BACKGROUND    637
A3.1 Linear Algebra  637
A3.2 Set Theory  649
INDEX         651

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