Cover image for Fundamentals of electronic image processing
Title:
Fundamentals of electronic image processing
Author:
Weeks, Arthur R.
Personal Author:
Publication Information:
Bellingham, Wash., USA : SPIE Optical Engineering Press ; New York : IEEE Press, [1996]

©1996
Physical Description:
xiii, 570 pages : illustrations (some color), maps ; 26 cm.
Language:
English
Subject Term:
ISBN:
9780780334106

9780819421494
Format :
Book

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Summary

Summary

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.


Table of Contents

Prefacep. xi
Acknowledgmentsp. xiii
1 Introduction to Electronic Image Processingp. 1
1.1 Historical Backgroundp. 1
1.2 Applications of Image Processingp. 9
1.3 Introduction to Visual Perceptionp. 13
1.4 Image Formationp. 25
1.5 Sampling and Quantizationp. 26
1.6 Image Neighbors and Distancesp. 34
1.7 Typical Image Processing Systemsp. 37
2 Transforms Used in Electronic Image Processingp. 40
2.1 The Fourier Seriesp. 40
2.2 The One-Dimensional Fourier Transformp. 44
2.3 The Two-Dimensional Fourier Transformp. 48
2.4 Important Functions Relating to the Fourier Transformp. 51
2.5 The Discrete Fourier Transformp. 55
2.6 Example and Properties of the Discrete Fourier Transformp. 59
2.7 Computation of the Discrete Fourier Transformp. 69
2.8 Other Image Transformsp. 71
3 Image Enhancement by Point Operationsp. 90
3.1 An Overview of Point Processingp. 90
3.2 Constant and Nonlinear Operationsp. 93
3.3 Operations Between Imagesp. 102
3.4 Histogram Techniquesp. 109
4 Spatial Filtering and Fourier Frequency Methodsp. 121
4.1 Various Types of Noise That Appear in Imagesp. 121
4.2 Spatial Filteringp. 129
4.3 Spatial Frequency Filteringp. 144
4.4 Image Restorationp. 158
5 Nonlinear Image Processing Techniquesp. 173
5.1 Nonlinear Spatial Filters Based on Order Statisticsp. 173
5.2 Nonlinear Mean Filtersp. 197
5.3 Adaptive Filtersp. 208
5.4 The Homomorphic Filterp. 221
6 Color Image Processingp. 228
6.1 Color Fundamentalsp. 229
6.2 Color Modelsp. 237
6.3 Examples of Color Image Processingp. 276
6.4 Pseudocoloring and Color Displaysp. 288
7 Image Geometry and Morphological Filtersp. 294
7.1 Spatial Interpolationp. 294
7.2 Image Geometryp. 299
7.3 Binary Morphology Dilation and Erosionp. 316
7.4 Binary Morphology Opening, Closing, Edge Detection, and Skeletonizationp. 333
7.5 Binary Morphology Hit-Miss, Thinning, Thickening, and Pruningp. 347
7.6 Binary Morphology Granulometries and the Pattern Spectrump. 359
7.7 Graylevel Morphologyp. 367
8 Image Segmentation and Representationp. 387
8.1 Image Thresholdingp. 388
8.2 Edge, Line, and Point Detectionp. 414
8.3 Region Based Segmentationp. 440
8.4 Image Representationp. 452
9 Image Compressionp. 471
9.1 Compression Fundamentalsp. 471
9.2 Error-Free Compression Methodsp. 483
9.3 Lossy Compression Methodsp. 522
Bibliographyp. 548
Indexp. 557