Fundamentals of electronic image processing

Title:

Personal Author:

Weeks, Arthur R.

Series:

SPIE/IEEE series on imaging science & engineering

Publication Information:

New York, NY : Wiley, 1996

Physical Description:

xiii, 570 p. : ill. (some col.) ; 26 cm.

ISBN:

9780780334106

Subject Term:

Image processing

Available:*

Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000010185199	TA1637 W44 1996	Open Access Book	Book	Searching... Unknown

This book provides the fundamentals of image processing specifically for the practicing engineer or scientist. A large variety of example images is included to give the reader a better understanding of how particular image processing algorithms work. This book bridges the gap between existing high level texts and the need for a more practical and fundamental approach.

Author Notes

Arthur R. Weeks Jr. is the author of Fundamentals of Electronic Image Processing, published by Wiley.

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

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Summary

Summary

Author Notes

Table of Contents