Digital image processing using Matlab:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Upper Saddle River, NJ
Pearson Prentice Hall
2004
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIV, 609 S. Ill., graph. Darst. |
| ISBN: | 0130085197 |
Internformat
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| 100 | 1 | |a Gonzalez, Rafael C. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Digital image processing using Matlab |c Rafael C. Gonzalez ; Richard E. Woods ; Steven L. Eddins |
| 264 | 1 | |a Upper Saddle River, NJ |b Pearson Prentice Hall |c 2004 | |
| 300 | |a XIV, 609 S. |b Ill., graph. Darst. | ||
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| 700 | 1 | |a Woods, Richard E. |e Verfasser |4 aut | |
| 700 | 1 | |a Eddins, Steven L. |e Verfasser |4 aut | |
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Datensatz im Suchindex
| _version_ | 1804130604178997248 |
|---|---|
| adam_text | DIGITAL IMAGE PROCESSING USING MATLAB 9 RAFAEL C. GONZALEZ UNIVERSITY OF
TENNESSEE RICHARD E. WOODS MEDDATA INTERACTIVE STEVEN L. EDDINS THE
MATHWORKS, INC. PEARSON PRENTICE HALL UPPER SADDLE RIVER, NJ 07458
CONTENTS PREFACE XI ACKNOWLEDGMENTS XII ABOUT THE AUTHORS XIII
INTRODUCTION 1 PREVIEW 1 1 BACKGROUND 1 2 WHAT IS DIGITAL IMAGE
PROCESSING? 2 3 BACKGROUND ON MATLAB AND THE IMAGE PROCESSING TOOLBOX I
AREAS OF IMAGE PROCESSING COVERED IN THE BOOK 5 5 THE BOOK WEB SITE 6 I
NOTATION 7 F THE MATLAB WORKING ENVIRONMENT 7 1.7.1 THE MATLAB DESKTOP 7
1.7.2 USING THE MATLAB EDITOR TO CREATE M-FILES 9 1.7.3 GETTING HELP 9
1.7.4 SAVING AND RETRIEVING A WORK SESSION 10 HOW REFERENCES ARE
ORGANIZED IN THE BOOK 11 SUMMARY 11 FUNDAMENTALS 12 PREVIEW 12 DIGITAL
IMAGE REPRESENTATION 12 2.1.1 COORDINATE CONVENTIONS 13 2.1.2 IMAGES AS
MATRICES 14 READING IMAGES 14 DISPLAYING IMAGES 16 WRITING IMAGES 18
DATA CLASSES 23 IMAGE TYPES 24 2.6.1 INTENSITY IMAGES 24 2.6.2 BINARY
IMAGES 25 2.6.3 A NOTE ON TERMINOLOGY 25 CONVERTING BETWEEN DATA CLASSES
AND IMAGE TYPES 25 2.7.1 CONVERTING BETWEEN DATA CLASSES 25 2.7.2
CONVERTING BETWEEN IMAGE CLASSES AND TYPES 26 ARRAY INDEXING 30 2.8.1
VECTOR INDEXING 30 2.8.2 MATRIX INDEXING 32 2.8.3 SELECTING ARRAY
DIMENSIONS 37 VI * CONTENTS 2.9 SOME IMPORTANT STANDARD ARRAYS 37 2.10
INTRODUCTION TO M-FUNCTION PROGRAMMING 38 2.10.1 M-FILES 38 2.10.2
OPERATORS 40 2.10.3 FLOW CONTROL 49 2.10.4 CODE OPTIMIZATION 55 2.10.5
INTERACTIVE I/O 59 2.10.6 A BRIEF INTRODUCTION TO CELL ARRAYS AND
STRUCTURES 62 SUMMARY 64 I INTENSITY TRANSFORMATIONS AND SPATIAL
FILTERING 65 PREVIEW 65 3.1 BACKGROUND 65 3.2 INTENSITY TRANSFORMATION
FUNCTIONS 66 3.2.1 FUNCTION IMADJUST 66 3.2.2 LOGARITHMIC AND
CONTRAST-STRETCHING TRANSFORMATIONS 68 3.2.3 SOME UTILITY M-FUNCTIONS
FOR INTENSITY TRANSFORMATIONS 70 3.3 HISTOGRAM PROCESSING AND FUNCTION
PLOTTING 76 3.3.1 GENERATING AND PLOTTING IMAGE HISTOGRAMS 76 3.3.2
HISTOGRAM EQUALIZATION 81 3.3.3 HISTOGRAM MATCHING (SPECIFICATION) 84
3.4 SPATIAL FILTERING 89 3.4.1 LINEAR SPATIAL FILTERING 89 3.4.2
NONLINEAR SPATIAL FILTERING 96 3.5 IMAGE PROCESSING TOOLBOX STANDARD
SPATIAL FILTERS 99 3.5.1 LINEAR SPATIAL FILTERS 99 3.5.2 NONLINEAR
SPATIAL FILTERS 104 SUMMARY 107 I FREQUENCY DOMAIN PROCESSING 108
PREVIEW 108 4.1 THE 2-D DISCRETE FOURIER TRANSFORM 108 4.2 COMPUTING AND
VISUALIZING THE 2-D DFT IN MATLAB 112 4.3 FILTERING IN THE FREQUENCY
DOMAIN 115 4.3.1 FUNDAMENTAL CONCEPTS 115 4.3.2 BASIC STEPS IN DFT
FILTERING 121 4.3.3 AN M-FUNCTION FOR FILTERING IN THE FREQUENCY DOMAIN
122 4.4 OBTAINING FREQUENCY DOMAIN FILTERS FROM SPATIAL FILTERS 122 4.5
GENERATING FILTERS DIRECTLY IN THE FREQUENCY DOMAIN 127 4.5.1 CREATING
MESHGRID ARRAYS FOR USE IN IMPLEMENTING FILTERS IN THE FREQUENCY DOMAIN
128 4.5.2 LOWPASS FREQUENCY DOMAIN FILTERS 129 4.5.3 WIREFRAME AND
SURFACE PLOTTING 132 * CONTENTS VII SHARPENING FREQUENCY DOMAIN FILTERS
136 4.6.1 BASIC HIGHPASS FILTERING 136 4.6.2 HIGH-FREQUENCY EMPHASIS
FILTERING 138 SUMMARY 140 IMAGE RESTORATION 141 PREVIEW 141 A MODEL OF
THE IMAGE DEGRADATION/RESTORATION PROCESS 142 NOISE MODELS 143 5.2.1
ADDING NOISE WITH FUNCTION IMNOISE 143 5.2.2 GENERATING SPATIAL RANDOM
NOISE WITH A SPECIFIED DISTRIBUTION 144 5.2.3 PERIODIC NOISE 150 5.2.4
ESTIMATING NOISE PARAMETERS 153 RESTORATION IN THE PRESENCE OF NOISE
ONLY*SPATIAL FILTERING 158 5.3.1 SPATIAL NOISE FILTERS 159 5.3.2
ADAPTIVE SPATIAL FILTERS 164 PERIODIC NOISE REDUCTION BY FREQUENCY
DOMAIN FILTERING 166 *. MODELING THE DEGRADATION FUNCTION 166 T
DIRECT INVERSE FILTERING 169 | WIENER FILTERING 170 I CONSTRAINED LEAST
SQUARES (REGULARIZED) FILTERING 173 FLTERATIVE NONLINEAR RESTORATION
USING THE LUCY-RICHARDSON FALGORITHM 176 [BLIND DECONVOLUTION 179
{GEOMETRIC TRANSFORMATIONS AND IMAGE REGISTRATION 182 15.11.1 GEOMETRIC
SPATIAL TRANSFORMATIONS 182 5.11.2 APPLYING SPATIAL TRANSFORMATIONS TO
IMAGES 187 5.11.3 IMAGE REGISTRATION 191 SUMMARY 193 LOLOR IMAGE
PROCESSING 194 MEW 194 DIOR IMAGE REPRESENTATION IN MATLAB 194 1.1.1 RGB
IMAGES 194 1.1.2 INDEXED IMAGES 197 {,1.3 IPT FUNCTIONS FOR MANIPULATING
RGB AND INDEXED IMAGES 199 DNVERTING TO OTHER COLOR SPACES 204 2.1 NTSC
COLOR SPACE 204 THE YCBCR COLOR SPACE 205 THE HSV COLOR SPACE 205 L4 THE
CMY AND CMYK COLOR SPACES 206 2.5 THE HSI COLOR SPACE 207 TIE BASICS OF
COLOR IMAGE PROCESSING 215 DIOR TRANSFORMATIONS 216 VIII * CONTENTS 6.5
SPATIAL FILTERING OF COLOR IMAGES 227 6.5.1 COLOR IMAGE SMOOTHING 227
6.5.2 COLOR IMAGE SHARPENING 230 6.6 WORKING DIRECTLY IN RGB VECTOR
SPACE 231 6.6.1 COLOR EDGE DETECTION USING THE GRADIENT 232 6.6.2 IMAGE
SEGMENTATION IN RGB VECTOR SPACE 237 SUMMARY 241 / WAVELETS 242 PREVIEW
242 7.1 BACKGROUND 242 7.2 THE FAST WAVELET TRANSFORM 245 7.2.1 FWTS
USING THE WAVELET TOOLBOX 246 7.2.2 FWTS WITHOUT THE WAVELET TOOLBOX 252
7.3 WORKING WITH WAVELET DECOMPOSITION STRUCTURES 259 7.3.1 EDITING
WAVELET DECOMPOSITION COEFFICIENTS WITHOUT THE WAVELET TOOLBOX 262 7.3.2
DISPLAYING WAVELET DECOMPOSITION COEFFICIENTS 266 7.4 THE INVERSE FAST
WAVELET TRANSFORM 271 7.5 WAVELETS IN IMAGE PROCESSING 276 SUMMARY 281 8
IMAGE CONTPRESSION 282 PREVIEW 282 8.1 BACKGROUND 283 8.2 CODING
REDUNDANCY 286 8.2.1 HUFFMAN CODES 289 8.2.2 HUFFMAN ENCODING 295 8.2.3
HUFFMAN DECODING 301 8.3 INTERPIXEL REDUNDANCY 309 8.4 PSYCHOVISUAL
REDUNDANCY 315 8.5 JPEG COMPRESSION 317 8.5.1 JPEG 318 8.5.2 JPEG 2000
325 SUMMARY 333 / MORPHOLOGICAL IMAGE PROCESSING 334 PREVIEW 334 9.1
PRELIMINARIES 335 9.1.1 SOME BASIC CONCEPTS FROM SET THEORY 335 9.1.2
BINARY IMAGES, SETS, AND LOGICAL OPERATORS 337 9.2 DILATION AND EROSION
337 9.2.1 DILATION 338 9.2.2 STRUCTURING ELEMENT DECOMPOSITION 341 9.2.3
THE ST RE 1 FUNCTION 341 9.2.4 EROSION 345 CONTENTS IX COMBINING
DILATION AND EROSION 347 9.3.1 OPENING AND CLOSING 347 9.3.2 THE
HIT-OR-MISS TRANSFORMATION 350 9.3.3 USING LOOKUP TABLES 353 9.3.4
FUNCTION BWMORPH 356 LABELING CONNECTED COMPONENTS 359 MORPHOLOGICAL
RECONSTRUCTION 362 9.5.1 OPENING BY RECONSTRUCTION 363 9.5.2 FILLING
HOLES 365 9.5.3 CLEARING BORDER OBJECTS 366 GRAY-SCALE MORPHOLOGY 366
9.6.1 DILATION AND EROSION 366 9.6.2 OPENING AND CLOSING 369 9.6.3
RECONSTRUCTION 374 SUMMARY 377 IMAGE SEGMENTATION 3 78 PREVIEW 378
POINT, LINE, AND EDGE DETECTION 379 10.1.1 POINT DETECTION 379 10.1.2
LINE DETECTION 381 10.1.3 EDGE DETECTION USING FUNCTION EDGE 384 LINE
DETECTION USING THE HOUGH TRANSFORM 393 10.2.1 HOUGH TRANSFORM PEAK
DETECTION 399 10.2.2 HOUGH TRANSFORM LINE DETECTION AND LINKING 401
THRESHOLDING 404 10.3.1 GLOBAL THRESHOLDING 405 10.3.2 LOCAL
THRESHOLDING 407 |4 REGION-BASED SEGMENTATION 407 10.4.1 BASIC
FORMULATION 407 10.4.2 REGION GROWING 408 10.4.3 REGION SPLITTING AND
MERGING 412 SEGMENTATION USING THE WATERSHED TRANSFORM 417 10.5.1
WATERSHED SEGMENTATION USING THE DISTANCE TRANSFORM 10.5.2 WATERSHED
SEGMENTATION USING GRADIENTS 420 10.5.3 MARKER-CONTROLLED WATERSHED
SEGMENTATION 422 SUMMARY 425 REPRESENTATION AND DESCRIPTION 426 PREVIEW
426 BACKGROUND 426 11.1.1 CELL ARRAYS AND STRUCTURES 427 11.1.2 SOME
ADDITIONAL MATLAB AND IPT FUNCTIONS USED IN THIS CHAPTER 432 11.1.3 SOME
BASIC UTILITY M-FUNCTIONS 433 418 * CONTENTS 11.2 REPRESENTATION 436
11.2.1 CHAIN CODES 436 11.2.2 POLYGONAL APPROXIMATIONS USING
MINIMUM-PERIMETER POLYGONS 439 11.2.3 SIGNATURES 449 11.2.4 BOUNDARY
SEGMENTS 452 11.2.5 SKELETONS 453 11.3 BOUNDARY DESCRIPTORS 455 11.3.1
SOME SIMPLE DESCRIPTORS 455 11.3.2 SHAPE NUMBERS 456 11.3.3 FOURIER
DESCRIPTORS 458 11.3.4 STATISTICAL MOMENTS 462 11.4 REGIONAL DESCRIPTORS
463 11.4.1 FUNCTION REGIONPROPS 463 11.4.2 TEXTURE 464 11.4.3 MOMENT
INVARIANTS 470 11.5 USING PRINCIPAL COMPONENTS FOR DESCRIPTION 474
SUMMARY 483 I / OBJECT RECOGNITION 484 PREVIEW 484 12.1 BACKGROUND 484
12.2 COMPUTING DISTANCE MEASURES IN MATLAB 485 12.3 RECOGNITION BASED ON
DECISION-THEORETIC METHODS 488 12.3.1 FORMING PATTERN VECTORS 488 12.3.2
PATTERN MATCHING USING MINIMUM-DISTANCE CLASSIFIERS 489 12.3.3 MATCHING
BY CORRELATION 490 12.3.4 OPTIMUM STATISTICAL CLASSIFIERS 492 12.3.5
ADAPTIVE LEARNING SYSTEMS 498 12.4 STRUCTURAL RECOGNITION 498 12.4.1
WORKING WITH STRINGS IN MATLAB 499 12.4.2 STRING MATCHING 508 SUMMARY
513 A FUNCON SUMMARY SU I X D ICE AND MATLAB GRAPHICAL USER INTERFACES
527 LIX I M-FUNCTIONS 552 BIBLIOGRAPHY 594 INDEX 597
|
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| spelling | Gonzalez, Rafael C. Verfasser aut Digital image processing using Matlab Rafael C. Gonzalez ; Richard E. Woods ; Steven L. Eddins Upper Saddle River, NJ Pearson Prentice Hall 2004 XIV, 609 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Bildverarbeitung - MATLAB MATLAB (DE-588)4329066-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 s MATLAB (DE-588)4329066-8 s DE-604 Woods, Richard E. Verfasser aut Eddins, Steven L. Verfasser aut HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010765703&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gonzalez, Rafael C. Woods, Richard E. Eddins, Steven L. Digital image processing using Matlab Bildverarbeitung - MATLAB MATLAB (DE-588)4329066-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4329066-8 (DE-588)4006684-8 |
| title | Digital image processing using Matlab |
| title_auth | Digital image processing using Matlab |
| title_exact_search | Digital image processing using Matlab |
| title_full | Digital image processing using Matlab Rafael C. Gonzalez ; Richard E. Woods ; Steven L. Eddins |
| title_fullStr | Digital image processing using Matlab Rafael C. Gonzalez ; Richard E. Woods ; Steven L. Eddins |
| title_full_unstemmed | Digital image processing using Matlab Rafael C. Gonzalez ; Richard E. Woods ; Steven L. Eddins |
| title_short | Digital image processing using Matlab |
| title_sort | digital image processing using matlab |
| topic | Bildverarbeitung - MATLAB MATLAB (DE-588)4329066-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Bildverarbeitung - MATLAB MATLAB Bildverarbeitung |
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