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9781420079500

Digital Image Processing: An Algorithmic Approach with MATLAB

by ;
  • ISBN13:

    9781420079500

  • ISBN10:

    1420079506

  • Format: Hardcover
  • Copyright: 2009-10-15
  • Publisher: Chapman & Hall/

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Summary

This text focuses on theory algorithms and MATLAB® implementation. Each chapter presents theoretical background with extensive mathematical treatment as well as algorithmic structures and data manipulation that emphasize matrix and linear algebra-based architecture and system design. The chapters also include MATLAB exercises and sample programs to help readers who lack a sound background in engineering and mathematics. The authors also provide actual classroom-based summaries that are designed to be used as lecture notes. The accompanying CD-ROM and supplementary website features MATLAB programs, PowerPoint presentations, and lecture material for instructors.

Table of Contents

Prefacep. xv
About the Authorsp. xix
Introduction to Image Processing and the Matlab“ Environment
Introductionp. 1
What Is an Image?p. 2
Digital Image Definitions: Theoretical Accountp. 2
Image Propertiesp. 5
Signal-to-Noise Ratiop. 5
Image Bit Resolutionp. 5
Matlabp. 7
Why Matlab for Image Processingp. 9
The Image Processing Toolbox in Matlabp. 10
Algorithmic Accountp. 11
Samplingp. 11
Noisy Imagep. 11
Bit Resolutionp. 12
Matlab Codep. 13
Basic Stepsp. 13
Samplingp. 14
Noisy Imagep. 14
Bit Resolutionp. 14
Summaryp. 15
Exericisesp. 16
Image Acquisition, Types, and File I/Op. 19
Image Acquisitionp. 19
Camerasp. 20
Image Types and File I/Op. 23
Bitmap Formatp. 24
JPEG Formatp. 24
GIF Formatp. 24
TIFF Formatp. 25
Basics of Color Imgesp. 25
Other Color Spacesp. 27
YIQ Color Spacep. 27
YCbCr Color Spacep. 28
HSV Color Spacep. 28
Algorithmic Accountp. 29
Image Conversionsp. 32
Matlab Codep. 32
Summary of Image Types and Numericp. 36
Exercisesp. 38
Image Arithmeticp. 39
Introductionp. 39
Operator Basicsp. 39
Theoretical Treatmentp. 40
Pixel Additionp. 40
Pixel Subtractionp. 41
Pixel Multiplication and Scalingp. 42
Pixel Divisionp. 43
Blendingp. 43
Algorithmic Treatmentp. 44
Image Additionp. 44
Image Subtraction/Multiplication/Divisionp. 44
Image Blending and Linear Combinationsp. 46
Coding Examplesp. 48
Image Additionp. 48
Image Subtractionp. 50
Multiplying Imagesp. 51
Dividing Imagesp. 53
Image Blending and Linear Combinationsp. 54
Summaryp. 56
Exericisesp. 56
Affine and Logical Operations, Distortions, and Noise in Imagesp. 59
Introductionp. 59
Affine Operationsp. 59
Logical Operatorsp. 62
Noise in Imagesp. 65
Photon Noisep. 66
Thermal Noisep. 66
On-Chip Electronic Noisep. 67
KTC Noisep. 67
Amplifier Noisep. 67
Quantization Noisep. 67
Distortions in Imagesp. 68
Linear Motion Blurp. 68
Uniform Out-of-Focus Blurp. 69
Atmospheric Turbulence Blurp. 70
Scatter Blurp. 70
Algorithmic Accountp. 70
Affine Operationsp. 70
Logical Operatorsp. 72
Distortions and Noisep. 74
Matlab Codep. 75
Affine and Logical Operatorsp. 76
Noise in Imagesp. 77
Blur in Imagesp. 78
Summaryp. 80
Exercisesp. 81
Image Transformsp. 83
Introductionp. 83
Discrete Fourier Transform (DFT) in 2Dp. 84
Wavelet Transformsp. 85
Hough Transformp. 91
Algorithmic Accountp. 94
Fourier Transformp. 94
Wavelet Transformp. 94
Hough Transformp. 94
Matlab“ Codep. 95
Fourier Transformp. 95
Wavelet Transformp. 98
Hough Transformp. 99
Summaryp. 99
Exericesp. 100
Spatial and Frequency Domain Filter Designp. 103
Introductionp. 103
Spatial Domain Filter Designp. 103
Convolution Operationp. 104
Averaging/Mean Filterp. 104
Median Filterp. 105
Gaussian Smoothingp. 108
Conservative Smoothingp. 108
Frequency-Based Filter Designp. 109
Algorithmic Accountp. 112
Spatial Filtering (Convolution Based)p. 112
Spatial Filtering (Case Based)p. 115
Frequency Filteringp. 116
Matlab“ Codep. 116
Summaryp. 120
Exercisesp. 120
Image Restoration and Blind Deconvolutionp. 123
Introductionp. 123
Image Representationp. 124
Deconvolutionp. 127
Algorthmic Accountp. 131
Lucy-Richardson Methodp. 132
Wiener Methodp. 132
Blind Deconvolutionp. 133
Matlab Codep. 135
Summaryp. 136
Exercisesp. 137
Image Compressionp. 139
Introductionp. 139
Image Compression-Decompression Stepsp. 140
Error Metricsp. 141
Classifying Image Datap. 142
Discrete Cosine Transformp. 142
Bit Allocationp. 143
Quantizationp. 145
Entropy Codingp. 149
JPEG Compressionp. 149
JPEG's Algorithmp. 150
Algorithmic Accountp. 151
Matlab“ Codep. 152
Summaryp. 153
Exercisesp. 154
Edge Detectionp. 155
Introductionp. 155
The Sobel Operatorp. 156
The Prewitt Operatorp. 158
The Canny Operatorp. 160
The Compass Operator (Edge Template Matching)p. 161
The Zero-Crossing Detectorp. 163
Line Detectionp. 166
The Unsharp Filterp. 167
Algorithmic Accountp. 168
Matlab Codep. 170
Summaryp. 172
Exercisesp. 173
Binary Image Processingp. 175
Introductionp. 175
Dilationp. 177
Erosionp. 179
Openingp. 179
Closingp. 180
Thinningp. 182
Thickeningp. 183
Skeletonization/Medial Axis Transformp. 184
Algorithmic Accountp. 186
Matlab“ Codep. 186
Summaryp. 190
Exerisesp. 190
Image Encryption and Watermarkingp. 193
Introductionp. 193
Watermarking Methodologyp. 194
Basic Principle of Watermarkingp. 196
Problems Associated With Watermarkingp. 197
Attacks on Watermarksp. 199
What Can Be Done?p. 200
Algorithmic Accountp. 201
Matlab“ Codep. 201
Summaryp. 203
Exericisesp. 204
Image Classification and Segmentationp. 205
Introductionp. 205
Supervised Classificationp. 206
Unsupervised Classificationp. 206
General Idea of Classificationp. 207
Common Intensity-Connected Pixel: Naïve Classifierp. 208
Nearest Neighbor Classifierp. 209
Mechanism of Operationp. 211
Unsupervised Classificationp. 212
Algorithmic Accountp. 213
Matlab“ Codep. 214
Summaryp. 218
Exrecisesp. 219
Image-Based Object Trackingp. 221
Introductionp. 221
Methodologiesp. 221
Background Subtractionp. 223
Artifactsp. 225
Temporal Difference Between Framesp. 226
Gradient Differencep. 226
Correlation-Bases Trackingp. 227
Color-Based Trackingp. 229
Algorithmic Accountp. 231
Matlab Codep. 231
Summaryp. 239
Exericisesp. 40
Face Recognitionp. 241
Introductionp. 241
Face Recognition Approachesp. 241
Vector Representationp. 242
Linear (Subspace) Analysisp. 243
Principal Components Analysisp. 244
Databases and Performance Evaluationp. 244
Process Detailsp. 46
Algorithmic Accountp. 249
Matlab“ Codep. 250
Summaryp. 251
Exercisesp. 252
Soft Computing in Image Processingp. 253
Introductionp. 253
Fuzzy Logic in Image Processingp. 255
Why Fuzzy Image Processing?p. 256
Fuzzy Classifierp. 258
Fuzzy Denoisingp. 261
Algorithmic Accountp. 263
Matlab Codep. 263
Summaryp. 266
Excrisesp. 266
Bibliographyp. 269
Gossaryp. 275
Indexp. 283
Table of Contents provided by Ingram. All Rights Reserved.

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