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Spie Press Book

Fundamentals of Electronic Image Processing
Author(s): Arthur R. Weeks
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Book Description

Part of the SPIE/IEEE Series on Imaging Science and Engineering. This book is directed to practicing engineers and scientists who need to understand the fundamentals of image processing theory and algorithms to perform their technical tasks. It is intended to fill the gap between existing high-level texts dedicated to specialists in the field and the need for a more practical, fundamental text on image processing. A variety of example images are used to enhance reader understanding of how particular image processing algorithms work.

Book Details

Date Published: 10 July 1996
Pages: 588
ISBN: 9780819491602
Volume: PM32

Table of Contents
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Preface xi
Acknowledgments xiii
1 Introduction to Electronic Image Processing 1
1.1 Historical Background 1
1.2 Applications of Image Processing 9
1.3 Introduction to Visual Perception 13
1.4 Image Formation 25
1.5 Sampling and Quantization 26
1.6 Image Neighbors and Distances 34
1.7 Typical Image Processing Systems 37
2 Transforms Used in Electronic Image Processing 40
2.1 The Fourier Series 40
2.2 The One-Dimensional Fourier Transform 44
2.3 The Two-Dimensional Fourier Transform 48
2.4 Important Functions Relating to the Fourier Transform 51
2.5 The Discrete Fourier Transform 55
2.6 Example and Properties of the Discrete Fourier Transform 59
2.7 Computation of the Discrete Fourier Transform 69
2.8 Other Image Transforms 71
3 Image Enhancement by Point Operations 90
3.1 An Overview of Point Processing 90
3.2 Constant and Nonlinear Operations 93
3.3 Operations Between Images 102
3.4 Histogram Techniques 109
4 Spatial Filtering and Fourier Frequency Methods 121
4.1 Various Types of Noise That Appear in Images 121
4.2 Spatial Filtering 129
4.3 Spatial Frequency Filtering 144
4.4 Image Restoration 158
5 Nonlinear Image Processing Techniques 173
5.1 Nonlinear Spatial Filters Based on Order Statistics 173
5.2 Nonlinear Mean Filters 197
5.3 Adaptive Filters 208
5.4 The Homomorphic Filter 221
6 Color Image Processing 228
6.1 Color Fundamentals 229
6.2 Color Models 237
6.3 Examples of Color Image Processing 276
6.4 Pseudocoloring and Color Displays 288
7 Image Geometry and Morphological Filters 294
7.1 Spatial Interpolation 294
7.2 Image Geometry 299
7.3 Binary Morphology Dilation and Erosion 316
7.4 Binary Morphology Opening, Closing, Edge Detection, and Skeletonization 333
7.5 Binary Morphology Hit-Miss, Thinning, Thickening, and Pruning 347
7.6 Binary Morphology Granulometries and the Pattern Spectrum 359
7.7 Graylevel Morphology 367
8 Image Segmentation and Representation 387
8.1 Image Thresholding 388
8.2 Edge, Line, and Point Detection 414
8.3 Region Based Segmentation 440
8.4 Image Representation 452
9 Image Compression 471
9.1 Compression Fundamentals 471
9.2 Error-Free Compression Methods 483
9.3 Lossy Compression Methods 522
Bibliography 548
Index 557 -->

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