Algorithms for image processing and computer vision:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Indianapolis, Ind.
Wiley
2011
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XXIV, 480 S. Ill., graph. Darst. |
| ISBN: | 0470643854 9780470643853 9781118021880 |
Staff View
MARC
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| 245 | 1 | 0 | |a Algorithms for image processing and computer vision |c J. R. Parker |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Indianapolis, Ind. |b Wiley |c 2011 | |
| 300 | |a XXIV, 480 S. |b Ill., graph. Darst. | ||
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| 650 | 4 | |a Image processing |x Digital techniques | |
| 650 | 4 | |a Computer vision | |
| 650 | 4 | |a Computer algorithms | |
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Record in the Search Index
| _version_ | 1804145777938792448 |
|---|---|
| adam_text | IMAGE 1
ALGORITHMS FOR IMAGE
PROCESSING AND COMPUTER VISION
SECOND EDITION
J.R. PARKER
WILEY
WILEY PUBLISHING, INC.
IMAGE 2
CONTENTS
PREFACE XXI
CHAPTER 1 PRACTICAL ASPECTS OF A VISION SYSTEM - IMAGE DISPLAY,
INPUT/OUTPUT, AND LIBRARY CALLS OPENCV THE BASIC OPENCV CODE
THE IPLLMAGE DATA STRUCTURE READING AND WRITING IMAGES IMAGE DISPLAY
AN EXAMPLE IMAGE CAPTURE INTERFACING WITH THE AIPCV LIBRARY WEBSITE
FILES REFERENCES
EDGE-DETECTION TECHNIQUES
THE PURPOSE OF EDGE DETECTION TRADITIONAL APPROACHES AND THEORY MODELS
OF EDGES NOISE
DERIVATIVE OPERATORS TEMPLATE-BASED EDGE DETECTION EDGE MODELS: THE
MARR-HILDRETH EDGE DETECTOR THE CANNY EDGE DETECTOR THE SHEN-CASTAN
(ISEF) EDGE DETECTOR A COMPARISON OF TWO OPTIMAL EDGE DETECTORS
1
2
2
3
6
7
7
10 14 18 18
21 21 23 24
26 30 36 39 42 48 51
IMAGE 3
XIV CONTENTS
COLOR EDGES SOURCE CODE FOR THE MARR-HILDRETH EDGE DETECTOR SOURCE CODE
FOR THE CANNY EDGE DETECTOR SOURCE CODE FOR THE SHEN-CASTAN EDGE
DETECTOR WEBSITE FILES REFERENCES
53 58 62
70 80 82
CHAPTER 3 DIGITAL MORPHOLOGY MORPHOLOGY DEFINED CONNECTEDNESS ELEMENTS
OF DIGITAL MORPHOLOGY - BINARY OPERATIONS
BINARY DILATION IMPLEMENTING BINARY DILATION BINARY EROSION
IMPLEMENTATION OF BINARY EROSION OPENING AND CLOSING MAX - A HIGH-LEVEL
PROGRAMMING LANGUAGE FOR
MORPHOLOGY THE HIT-AND-MISS TRANSFORM IDENTIFYING REGION BOUNDARIES
CONDITIONAL DILATION
COUNTING REGIONS GREY-LEVEL MORPHOLOGY OPENING AND CLOSING
SMOOTHING GRADIENT SEGMENTATION OF TEXTURES SIZE DISTRIBUTION OF OBJECTS
COLOR MORPHOLOGY WEBSITE FILES
REFERENCES
85 85 86 87
88 92 94 100 101
107 113 116 116
119 121 123 126
128 129 130 131 132 135
CHAPTER 4 GREY-LEVEL SEGMENTATION BASICS OF GREY-LEVEL SEGMENTATION
USING EDGE PIXELS ITERATIVE SELECTION
THE METHOD OF GREY-LEVEL HISTOGRAMS USING ENTROPY FUZZY SETS MINIMUM
ERROR THRESHOLDING
SAMPLE RESULTS FROM SINGLE THRESHOLD SELECTION
137 137 139 140
141 142 146
148 149
IMAGE 4
CONTENTS XV
CHAPTER 5
CHAPTER 6
THE USE OF REGIONAL THRESHOLDS CHOW AND KANEKO MODELING ILLUMINATION
USING EDGES IMPLEMENTATION AND RESULTS
COMPARISONS RELAXATION METHODS MOVING AVERAGES CLUSTER-BASED THRESHOLDS
MULTIPLE THRESHOLDS
WEBSITE FILES REFERENCES
TEXTURE AND COLOR TEXTURE AND SEGMENTATION A SIMPLE ANALYSIS OF TEXTURE
IN GREY-LEVEL IMAGES GREY-LEVEL CO-OCCURRENCE
MAXIMUM PROBABILITY MOMENTS CONTRAST HOMOGENEITY ENTROPY RESULTS FROM
THE GLCM DESCRIPTORS SPEEDING UP THE TEXTURE OPERATORS EDGES AND TEXTURE
ENERGY AND TEXTURE SURFACES AND TEXTURE
VECTOR DISPERSION SURFACE CURVATURE FRACTAL DIMENSION COLOR SEGMENTATION
COLOR TEXTURES WEBSITE FILES REFERENCES
THINNING WHAT IS A SKELETON? THE MEDIAL AXIS TRANSFORM ITERATIVE
MORPHOLOGICAL METHODS THE USE OF CONTOURS
CHOI/LAM/SIU ALGORITHM TREATING THE OBJECT AS A POLYGON TRIANGULATION
METHODS
151 152 156 159
160 161 167 170 171
172 173
177 177 179 182
185 185 185 185 186 186 186 188 191 193
193 195 198 201 205 205 206
209 209 210 212
221 224 226 227
IMAGE 5
XVI CONTENTS
FORCE-BASED THINNING 228
DEFINITIONS 229
USE OF A FORCE FIELD 230
SUBPIXEL SKELETONS 234
SOURCE CODE FOR ZHANG-SUEN/STENTIFORD/HOLT COMBINED ALGORITHM 235
WEBSITE FILES 246
REFERENCES 247
CHAPTER 7 IMAGE RESTORATION 251
IMAGE DEGRADATIONS - THE REAL WORLD 251
THE FREQUENCY DOMAIN 253
THE FOURIER TRANSFORM 254
THE FAST FOURIER TRANSFORM 256
THE INVERSE FOURIER TRANSFORM 260
TWO-DIMENSIONAL FOURIER TRANSFORMS 260
FOURIER TRANSFORMS IN OPENCV 262
CREATING ARTIFICIAL BLUR 264
THE INVERSE FILTER 270
THE WIENER FILTER 271
STRUCTURED NOISE 273
MOTION BLUR - A SPECIAL CASE 276
THE HOMOMORPHIC FILTER - ILLUMINATION 277
FREQUENCY FILTERS IN GENERAL 278
ISOLATING ILLUMINATION EFFECTS 280
WEBSITE FILES 281
REFERENCES 283
CHAPTER 8 CLASSIFICATION 285
OBJECTS, PATTERNS, AND STATISTICS 285
FEATURES AND REGIONS 288
TRAINING AND TESTING 292
VARIATION: IN-CLASS AND OUT-CLASS 295
MINIMUM DISTANCE CLASSIFIERS 299
DISTANCE METRICS 300
DISTANCES BETWEEN FEATURES 302
CROSS VALIDATION 304
SUPPORT VECTOR MACHINES 306
MULTIPLE CLASSIFIERS - ENSEMBLES 309
MERGING MULTIPLE METHODS 309
MERGING TYPE 1 RESPONSES 310
EVALUATION 311
CONVERTING BETWEEN RESPONSE TYPES 312
IMAGE 6
CONTENTS XVII
CHAPTER 9
CHAPTER 10
MERGING TYPE 2 RESPONSES MERGING TYPE 3 RESPONSES BAGGING AND BOOSTING
BAGGING
BOOSTING WEBSITE FILES REFERENCES
SYMBOL RECOGNITION THE PROBLEM OCR ON SIMPLE PERFECT IMAGES OCR ON
SCANNED IMAGES - SEGMENTATION
NOISE ISOLATING INDIVIDUAL GLYPHS MATCHING TEMPLATES STATISTICAL
RECOGNITION OCR ON FAX IMAGES - PRINTED CHARACTERS
ORIENTATION - SKEW DETECTION THE USE OF EDGES HANDPRINTED CHARACTERS
PROPERTIES OF THE CHARACTER OUTLINE
CONVEX DEFICIENCIES VECTOR TEMPLATES NEURAL NETS A SIMPLE NEURAL NET
A BACKPROPAGATION NET FOR DIGIT RECOGNITION THE USE OF MULTIPLE
CLASSIFIERS MERGING MULTIPLE METHODS RESULTS FROM THE MULTIPLE
CLASSIFIER PRINTED MUSIC RECOGNITION - A STUDY
STAFF LINES SEGMENTATION MUSIC SYMBOL RECOGNITION SOURCE CODE FOR NEURAL
NET RECOGNITION SYSTEM WEBSITE FILES REFERENCES
CONTENT-BASED SEARCH - FINDING IMAGES BY EXAMPLE SEARCHING IMAGES
MAINTAINING COLLECTIONS OF IMAGES FEATURES FOR QUERY BY EXAMPLE
COLOR IMAGE FEATURES MEAN COLOR COLOR QUAD TREE
313 315 315 315
316 317 318
321 321 322 326
327 329 333
337 339 340 345 348
349 353 357 363 364 368 372
372 375 375 376
378 381 383
390 392
395 395 396 399
399 400 400
IMAGE 7
XVIII CONTENTS
HUE AND INTENSITY HISTOGRAMS 401
COMPARING HISTOGRAMS 402
REQUANTIZATION 403
RESULTS FROM SIMPLE COLOR FEATURES 404
OTHER COLOR-BASED METHODS 407
GREY-LEVEL IMAGE FEATURES 408
GREY HISTOGRAMS 409
GREY SIGMA - MOMENTS 409
EDGE DENSITY - BOUNDARIES BETWEEN OBJECTS 409
EDGE DIRECTION 410
BOOLEAN EDGE DENSITY 410
SPATIAL CONSIDERATIONS 411
OVERALL REGIONS 411
RECTANGULAR REGIONS 412
ANGULAR REGIONS 412
CIRCULAR REGIONS 414
HYBRID REGIONS 414
TEST OF SPATIAL SAMPLING 414
ADDITIONAL CONSIDERATIONS 417
TEXTURE 418
OBJECTS, CONTOURS, BOUNDARIES 418
DATA SETS 418
WEBSITE FILES 419
REFERENCES 420
SYSTEMS 424
CHAPTER 1T HIGH-PERFORMANCE COMPUTING FOR VISION AND IMAGE PROCESSING
425
PARADIGMS FOR MULTIPLE-PROCESSOR COMPUTATION 426
SHARED MEMORY 426
MESSAGE PASSING 427
EXECUTION TIMING 427
USING CLOCW 428
USING QUERYPERFORMANCECOUNTER 430
THE MESSAGE-PASSING INTERFACE SYSTEM 432
INSTALLING MPI 432
USING MPI 433
INTER-PROCESS COMMUNICATION 434
RUNNING MPI PROGRAMS 436
REAL IMAGE COMPUTATIONS 437
USING A COMPUTER NETWORK - CLUSTER COMPUTING 440
IMAGE 8
CONTENTS XIX
A SHARED MEMORY SYSTEM - USING THE PC GRAPHICS PROCESSOR 444
GLSL 444
OPENGL FUNDAMENTALS 445
PRACTICAL TEXTURES IN OPENGL 448
SHADER PROGRAMMING BASICS 451
VERTEX AND FRAGMENT SHADERS 452
REQUIRED GLSL INITIALIZATIONS 453
READING AND CONVERTING THE IMAGE 454
PASSING PARAMETERS TO SHADER PROGRAMS 456
PUTTING IT ALL TOGETHER 457
SPEEDUP USING THE GPU 459
DEVELOPING AND TESTING SHADER CODE 459
FINDING THE NEEDED SOFTWARE 460
WEBSITE FILES 461
REFERENCES 461
INDEX 465
|
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| bvnumber | BV037469887 |
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| id | DE-604.BV037469887 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T23:24:51Z |
| institution | BVB |
| isbn | 0470643854 9780470643853 9781118021880 |
| language | English |
| lccn | 2010939957 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-022621676 |
| oclc_num | 703209783 |
| open_access_boolean | |
| owner | DE-706 DE-384 DE-11 DE-83 DE-573 DE-860 DE-91 DE-BY-TUM DE-859 DE-92 DE-634 |
| owner_facet | DE-706 DE-384 DE-11 DE-83 DE-573 DE-860 DE-91 DE-BY-TUM DE-859 DE-92 DE-634 |
| physical | XXIV, 480 S. Ill., graph. Darst. |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Wiley |
| record_format | marc |
| spelling | Parker, Jim R. 1955- Verfasser (DE-588)138922748 aut Algorithms for image processing and computer vision J. R. Parker 2. ed. Indianapolis, Ind. Wiley 2011 XXIV, 480 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Image processing Digital techniques Computer vision Computer algorithms Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Algorithmus (DE-588)4001183-5 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 s Maschinelles Sehen (DE-588)4129594-8 s Algorithmus (DE-588)4001183-5 s 1\p DE-604 DE-604 Erscheint auch als Online-Ausgabe 978-1-118-01962-7 Erscheint auch als Online-Ausgabe 978-1-118-02189-7 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022621676&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Parker, Jim R. 1955- Algorithms for image processing and computer vision Image processing Digital techniques Computer vision Computer algorithms Maschinelles Sehen (DE-588)4129594-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd Algorithmus (DE-588)4001183-5 gnd |
| subject_GND | (DE-588)4129594-8 (DE-588)4006684-8 (DE-588)4001183-5 |
| title | Algorithms for image processing and computer vision |
| title_auth | Algorithms for image processing and computer vision |
| title_exact_search | Algorithms for image processing and computer vision |
| title_full | Algorithms for image processing and computer vision J. R. Parker |
| title_fullStr | Algorithms for image processing and computer vision J. R. Parker |
| title_full_unstemmed | Algorithms for image processing and computer vision J. R. Parker |
| title_short | Algorithms for image processing and computer vision |
| title_sort | algorithms for image processing and computer vision |
| topic | Image processing Digital techniques Computer vision Computer algorithms Maschinelles Sehen (DE-588)4129594-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd Algorithmus (DE-588)4001183-5 gnd |
| topic_facet | Image processing Digital techniques Computer vision Computer algorithms Maschinelles Sehen Bildverarbeitung Algorithmus |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022621676&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT parkerjimr algorithmsforimageprocessingandcomputervision |