Innovations in intelligent image analysis:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2011
|
| Schriftenreihe: | Studies in computational intelligence
339 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XX, 312 S. Ill., graph. Darst. |
| ISBN: | 9783642179334 |
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Datensatz im Suchindex
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|---|---|
| adam_text |
IMAGE 1
CONTENTS
CHAPTER 1 ADVANCES IN INTELLIGENT IMAGE ANALYSIS 1
HALINA KWASNICKA, LAKHMI C. JAIN 1 INTRODUCTION 1
2 CHAPTERS INCLUDED IN THE BOOK 4
3 CONCLUSION 5
REFERENCES AND FURTHER READINGS 6
CHAPTER 2
MULTI-CLASS CLASSIFICATION IN IMAGE ANALYSIS VIA ERROR-CORRECTING OUTPUT
CODES 7
SERGIO ESODERA, DAVID M.J. TAX, ORIOL PUJOL, PETIA RADEVA, ROBERT P. W.
DUIN 1 INTRODUCTION 8
2 ECOC DESIGNS 9
2.1 ECOC-ONE CODING 10
2.2 DECOC AND SUB-CLASS ECOC CODING 12
2.3 LOSS-WEIGHTED DECODING 17
3 EXPERIMENTAL RESULTS 19
3.1 TRAFFIC SIGN CATEGORIZATION 20
3.2 INTRAVASCULAR ULTRASOUND TISSUE CHARACTERIZATION. 20 4
CONCLUSIONS 28
REFERENCES 28
CHAPTER 3
MORPHOLOGICAL OPERATOR DESIGN FROM TRAINING DATA: A STATE OF THE ART
OVERVIEW 31
NINA S. T. HIRATA 1 BINARY MORPHOLOGICAL OPERATORS 34
2 DESIGNING MORPHOLOGICAL OPERATORS FROM TRAINING IMAGES 38
3 THE BIAS-VARIANCE TRADEOFF 42
4 APPLICATION EXAMPLES 47
5 CONCLUDING REMARKS 48
REFERENCES 56
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1008556076
DIGITALISIERT DURCH
IMAGE 2
XVI CONTENTS
CHAPTER 4
TASK-SPECIFIC SALIENCE FOR OBJECT RECOGNITION 59
JEROME REVAUD, QUILLAUME LAVOUE, YASUO ARIKI, ATILLA BASKURT 1
INTRODUCTION 59
2 AN EXTENDED DEFINITION OF SALIENCE 61
3 A PRACTICAL EXAMPLE FOR SPECIFIC OBJECT RECOGNITION 70 4 CONCLUSION
AND PERSPECTIVES 81
REFERENCES 83
CHAPTER 5
FAST AND EFFICIENT LOCAL FEATURES DETECTION FOR BUILDING RECOGNITION 87
G.P. NGUYEN, H.J. ANDERSEN 1 INTRODUCTION 87
2 LOCAL FEATURE DETECTORS 89
3 LOCAL FEATURE DETECTORS UNDER LARGE TEMPORAL VARIATION . . 92 4
SELECTION OF INFORMATIVE LOCAL FEATURES 94
4.1 UNIQUENESS FILTERING FOR LOCAL FEATURES 94
4.2 EVALUATION 96
5 SYSTEM AND APPLICATION 98
5.1 SYSTEM SCHEME 98
5.2 APPLICATION 98
5.3 SCENARIO 99
5.4 EVALUATION 101
6 CONCLUSION 103
REFERENCES 103
CHAPTER 6
VISUAL PERCEPTION IN IMAGE ANALYSIS: DIGITAL IMAGE CONTENT VIA TOLERANCE
NEAR SETS 105
JAMES F. PETERS 1 INTRODUCTION 106
2 RELATED WORKS 106
3 TOLERANCE SPACES AND VISUAL PERCEPTION 107
4 HISTORY OF NEAR SETS UNDERLYING PERCEPTION IN IMAGE ANALYSIS 109
5 VISUAL TOLERANCE SPACES AND WHAT WE SEE 113
6 VISUAL SPACE 114
7 RESEMBLANCE BETWEEN TOLERANCE SPACES 116
8 IMPLEMENTATION OF A NEARNESS SYSTEM 120
9 CONCLUSION 121
REFERENCES 122
IMAGE 3
CONTENTS XVII
CHAPTER 7
AN INTRODUCTION TO MAGNETIC RESONANCE IMAGING: FROM IMAGE ACQUISITION TO
CLINICAL DIAGNOSIS 127
KENNETH REVETT 1 INTRODUCTION TO MRI 127
1.1 THE HISTORICAL DEVELOPMENT OF MRI 127
2 THE BASICS OF MRI 130
2.1 OVERVIEW OF THE IMAGE ACQUISITION PROCESS 131
2.2 THE PHYSICS BEHIND MRI 133
2.3 GENERATION OF AN MRI IMAGE 136
2.4 SLICE SELECTION 138
2.5 SPATIAL ENCODING 139
3 TISSUE CONTRAST 142
4 IMAGE PROCESSING OF MRI 146
4.1 EDGE DETECTION 146
4.2 IMAGE SEGMENTATION 147
4.3 VOXEL-BASED MORPHOMETRY 152
4.4 FIBER TRACTOGRAPHY 154
5 MEDICAL APPLICATIONS 155
5.1 STROKE 156
5.2 DEMENTIAS 158
6 CONCLUSION 159
REFERENCES 160
CHAPTER 8
IMAGE ANALYSIS IN POINCARE-PETERS PERCEPTUAL REPRESENTATIVE SPACES: A
NEAR SET APPROACH 163
SHEELA RAMANNA 1 INTRODUCTION 164
2 RELATED WORKS 166
3 BASIC NOTIONS 168
3.1 DESCRIPTION AND PERCEPTUAL SYSTEMS 168
3.2 PERCEPTUAL PAWLAK PARTITIONS 168
4 NEAR SETS AND PERCEPTUALLY NEAR PAWLAK PARTITIONS 171 4.1 NEAR SETS
171
4.2 REPRESENTATIVE SPACES 172
4.3 PERCEPTUALLY NEAR DIGITAL IMAGES 177
5 PROBE FUNCTIONS FOR IMAGE FEATURES 178
5.1 EDGE FEATURES 178
5.2 REGION FEATURES 178
6 NEARNESS MEASURES 179
6.1 TOLERANCE REPRESENTATIVE SPACE-BASED NEARNESS MEASURES 180
IMAGE 4
XVIII CONTENTS
6.2 HAUSDORFF NEARNESS MEASURE (H D NM) 181
6.3 GENERALIZED MAHALANOBIS NEARNESS MEASURE (GMNM) 181
7 ILLUSTRATION: IMAGE NEARNESS MEASURES 182
7.1 ANALYSIS OF HAUSDORFF NEARNESS MEASURE: IMAGE RETRIEVAL EXPERIMENTS
183
7.2 ANALYSIS OF GENERALIZED MAHALANOBIS NEARNESS MEASURE: IMAGE
RETRIEVAL EXPERIMENTS 184
7.3 REMARKS ON QUALITY OF RETRIEVAL 185
7.4 PERFORMANCE MEASURE 186
8 CBIR EXPERIMENTS ON TWO IMAGE ARCHIVES 189
9 CONCLUSION 190
REFERENCES 191
CHAPTER 9
LOCAL KEYPOINTS AND GLOBAL AFFINE GEOMETRY: TRIANGLES AND ELLIPSES FOR
IMAGE FRAGMENT MATCHING 195 MARIUSZ PARADOWSKI, ANDRZEJ SLUZEK 1
INTRODUCTION 195
2 KEYPOINTS: DETECTORS AND DESCRIPTORS 198
2.1 KEYPOINT DETECTORS 198
2.2 KEYPOINT DESCRIPTORS 201
3 MATCHING IMAGE FRAGMENTS 201
3.1 KEYPOINT MATCHING 202
3.2 AFFINE TRANSFORMATION RECONSTRUCTION 203
3.3 AFFINE TRANSFORMATION DECOMPOSITION 207
3.4 HISTOGRAMS OF AFFINE TRANSFORMATIONS 211
3.5 IMAGE FRAGMENT MATCHING BY HISTOGRAM ANALYSIS . . 215 3.6 HISTOGRAM
BINS GROUPING 216
4 PARAMETERS, EVALUATION AND APPLICATIONS 216
4.1 METHOD PARAMETERS 216
4.2 METHOD EVALUATION 218
4.3 FORMING VISUAL CLASSES - AN INTENDED APPLICATION 221
5 SUMMARY 222
REFERENCES 223
CHAPTER 10
FEATURE ANALYSIS FOR OBJECT AND SCENE CATEGORIZATION 225 JEREMIAH D.
DENG 1 INTRODUCTION 225
2 RELEVANT WORK 226
3 FEATURE SELECTION 228
IMAGE 5
CONTENTS XIX
4 CASE STUDIES 230
5 DISCUSSION AND CONCLUSION 241
REFERENCES 242
CHAPTER 11
INTRODUCTION TO CURVE AND EDGE PARAMETRIZATION BY MOMENTS 245
IRINA POPOVICI, WM. DOUGLAS WITHERS 1 BACKGROUND 245
2 MATHEMATICAL THEORY OF SOLVABILITY 248
3 THE CONSTRUCTIVE MOMENT-ANALYSIS METHOD 253
4 MOMENT-BASED LINE PARAMETRIZATION 254
5 PARAMETRIZING HIGHER-ORDER CURVES AND SURFACES 258
6 IMPLICIT VERSUS EXPLICIT SOLUTION 265
REFERENCES 273
CHAPTER 12
INTELLIGENT APPROACHES TO COLOUR PALETTE DESIGN 275 GERALD SCHAEFER 1
INTRODUCTION 275
2 OPTIMISATION FOR COLOUR PALETTE DESIGN 276
3 FUZZY CLUSTERING FOR COLOUR PALETTE DESIGN 280
4 ROUGH CLUSTERING FOR COLOUR PALETTE DESIGN 285
5 EXPERIMENTAL RESULTS 286
6 CONCLUSIONS 288
REFERENCES 288
CHAPTER 13
MEAN SHIFT AND ITS APPLICATION IN IMAGE SEGMENTATION 291 HUIYU ZHOU, XUN
WANG, GERALD SCHAEFER 1 INTRODUCTION 291
2 MEAN SHIFT 293
3 FUZZY C-MEANS WITH MEAN SHIFT 293
3.1 ANISOTROPIE MEAN SHIFT 294
3.2 ANISOTROPIE MEAN SHIFT BASED FCM 296
4 DIRICHLET PROCESS MIXTURE MODELS WITH MEAN SHIFT 297
4.1 DIRICHLET PROCESS MIXTURES WITH MARKOV RANDOM FIELDS 298
4.2 MDP/MRF WITH MEAN SHIFT 299
5 GRADIENT VECTOR FLOW SNAKES WITH MEAN SHIFT 300
5.1 SEGMENTATION CONSTRAINED BY MEAN SHIFT 302
5.2 GVF-MEANS SHIFT SEGMENTATION 302
IMAGE 6
XX CONTENTS
6 EVALUATION AND DISCUSSION 303
6.1 ANISOTROPIE MEAN SHIFT BASED FCM 303
6.2 DIRICHLET PROCESS MIXTURE MODELS WITH MEAN SHIFT. 306 6.3 GRADIENT
VECTOR FLOW WITH MEAN SHIFT 307
7 SUMMARY 310
REFERENCES 311
AUTHOR INDEX 313 |
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| spelling | Innovations in intelligent image analysis Halina Kwaśnicka and Lakhmi C. Jain (ed.) Berlin [u.a.] Springer 2011 XX, 312 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 339 Literaturangaben Information Retrieval (DE-588)4072803-1 gnd rswk-swf Bildanalyse (DE-588)4145391-8 gnd rswk-swf Bildbanksystem (DE-588)4145396-7 gnd rswk-swf Objekterkennung (DE-588)4314334-9 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Bildanalyse (DE-588)4145391-8 s Maschinelles Sehen (DE-588)4129594-8 s Objekterkennung (DE-588)4314334-9 s Bildbanksystem (DE-588)4145396-7 s Information Retrieval (DE-588)4072803-1 s DE-604 Kwaśnicka, Halina edt Erscheint auch als Online-Ausgabe Innovations in Intelligent Image Analysis Studies in computational intelligence 339 (DE-604)BV020822171 339 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3616421&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022526026&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Innovations in intelligent image analysis Studies in computational intelligence Information Retrieval (DE-588)4072803-1 gnd Bildanalyse (DE-588)4145391-8 gnd Bildbanksystem (DE-588)4145396-7 gnd Objekterkennung (DE-588)4314334-9 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4072803-1 (DE-588)4145391-8 (DE-588)4145396-7 (DE-588)4314334-9 (DE-588)4129594-8 (DE-588)4143413-4 |
| title | Innovations in intelligent image analysis |
| title_auth | Innovations in intelligent image analysis |
| title_exact_search | Innovations in intelligent image analysis |
| title_full | Innovations in intelligent image analysis Halina Kwaśnicka and Lakhmi C. Jain (ed.) |
| title_fullStr | Innovations in intelligent image analysis Halina Kwaśnicka and Lakhmi C. Jain (ed.) |
| title_full_unstemmed | Innovations in intelligent image analysis Halina Kwaśnicka and Lakhmi C. Jain (ed.) |
| title_short | Innovations in intelligent image analysis |
| title_sort | innovations in intelligent image analysis |
| topic | Information Retrieval (DE-588)4072803-1 gnd Bildanalyse (DE-588)4145391-8 gnd Bildbanksystem (DE-588)4145396-7 gnd Objekterkennung (DE-588)4314334-9 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Information Retrieval Bildanalyse Bildbanksystem Objekterkennung Maschinelles Sehen Aufsatzsammlung |
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| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT kwasnickahalina innovationsinintelligentimageanalysis |