书籍详情
数字图像处理（影印版）
作者：Kenneth R.Castleman著
出版社：清华大学出版社
出版时间：2003-11-01
ISBN：9787302074649
定价：¥59.00
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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。
作者简介
暂缺《数字图像处理（影印版）》作者简介
目录
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
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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