Intelligent visual inspection: using artificial neural networks
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London [u.a.]
Chapman & Hall
1997
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| Ausgabe: | 1. ed. |
| Schriftenreihe: | Intelligent engineering systems series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XII, 306 S. Ill., graph. Darst. |
| ISBN: | 0412708000 |
Internformat
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Datensatz im Suchindex
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| adam_text |
INTELLIGENT VISUAL INSPECTION USING ARTIFICIAL NEURAL NETWORKS RYAN G.
ROSANDICH DEPARTMENT OF INDUSTRIAL ENGINEERING UNIVERSITY OF
MINNESOTA-DULUTH 10 UNIVERSITY DRIVE DULUTH MN 55812 USA CHAPMAN & HALL
LONDON * WEINHEIM * NEW YORK * TOKYO * MELBOURNE * MADRAS CONTENTS PART
ONE: INTRODUCTION 1 1. INTELLIGENT MANUFACTURING 3 1.1 INTRODUCTION 3
1.2 DEFINITION OF INTELLIGENCE 4 1.3 ROLE OF VISION IN INTELLIGENCE 7
1.4 MODERN MANUFACTURING SYSTEMS 8 1.5 CONSIDERATIONS IN INTELLIGENT
MANUFACTURING SYSTEMS DESIGN 11 2. INTELLIGENT VISUAL INSPECTION 13 2.1
VISION SYSTEMS FOR INTELLIGENT MANUFACTURING 13 2.2 DEFINITION OF VISUAL
INSPECTION 14 2.3 OBJECTIVES OF VISUAL INSPECTION 15 2.4 INSPECTION
ERRORS 18 2.5 CATEGORIES OF INSPECTION 18 2.6 AREAS OF APPLICATION FOR
VISUAL INSPECTION 21 2.7 BENEFITS OF AUTOMATED INSPECTION 23 2.8
COMMERCIALLY APPLIED INSPECTION SYSTEMS 25 2.9 LIMITATIONS OF AUTOMATED
VISUAL INSPECTION 26 2.10 RESEARCH GOALS 27 PART TWO: FUNDAMENTALS OF
ARTIFICIAL VISION SYSTEMS 29 3. BIOLOGICAL VISIO N SYSTEMS 31 3.1
INTRODUCTION 31 3.2 BASIC PHYSIOLOGY OF VISION SYSTEMS 31 3.3 HUMAN
VISUAL COGNITION 43 3.4 OBJECT RECOGNITION 49 3.5 SUMMARY 52 VIII
CONTENTS 4. ARTIFICIAL NEURAL NETWORKS FOR PATTERN RECOGNITION 54 4.1
INTRODUCTION 54 4.2 EARLY ARTIFICIAL NEURAL NETWORKS 54 4.3
BACKPROPAGATION NEURAL NETWORKS 57 4.4 SELF-ORGANIZING MAPS 61 4.5
ADAPTIVE RESONANCE THEORY AND ITS DERIVATIVES 64 4.6 NEOCOGNITRON NEURAL
NETWORK 71 4.7 HAVNET NEURAL NETWORK 74 4.8 SUMMARY 92 PART THREE:
ARTIFICIAL VISION SYSTEMS DESIGN 95 5. IMAGE ACQUISITION AND STORAGE 97
5.1 INTRODUCTION 97 5.2 CAMERAS 97 5.3 OBJECT LIGHTING AND PRESENTATION
102 5.4 IMAGE ACQUISITION CARDS 105 5.5 IMAGE PROCESSING HARDWARE 111
5.6 IMAGE FORMATS 116 6.6 LOW-LEVEL IMAGE PROCESSING 123 6.1
INTRODUCTION 123 6.2 IMAGE SIZE REDUCTION 123 6.3 NOISE REMOVAL AND
FILTERING 125 6.4 THRESHOLDING AND HISTOGRAMS 126 6.5 REGION GROWING AND
HOLE FILLING 129 6.6 EDGE DETECTION 132 6.7 PRIMITIVE IMAGE FEATURES 134
6.8 SUMMARY 136 7. INTERMEDIATE IMAGE PROCESSING 137 7.1 INTRODUCTION
137 7.2 COLOR REPRESENTATION AND PROCESSING 137 7.3 SHAPE FROM SHADING
141 7.4 STEREO VISION 145 7.5 ANALYSIS OF VISUAL MOTION 150 7.6 GROUPING
PRIMITIVE FEATURES INTO COMPLEX FEATURES 154 7.7 SUMMARY 154 8.
COMPUTATIONAL APPROACH TO ARTIFICIAL VISION 156 8.1 INTRODUCTION 156 8.2
THE WORK OF DAVID MARR 157 8.3 ACRONYM VISION SYSTEM 161 CONTENTS IX 8.4
SCERPO VISION SYSTEM 165 8.5 RECOGNITION BY COMPONENTS THEORY AND THE
PARVO VISION SYSTEM 170 8.6 SUMMARY 178 9. CONNECTIONIST APPROACH TO
ARTIFICIAL VISION 180 9.1 INTRODUCTION 180 9.2 GROSSBERG VISION MODEL
180 9.3 SEIBERT-WAXMAN VISION MODEL 184 9.4 CAMERA VISION MODEL 190 10.
EXPERIMENTAL EVALUATION OF THE CAMERA VISION MODEL 217 10.1 INTRODUCTION
217 10.2 EXPERIMENTAL APPARATUS AND CONDITIONS 217 10.3 RECOGNITION OF
SIMPLE TWO-DIMENSIONAL OBJECTS 219 10.4 RECOGNITION OF COMPLEX
TWO-DIMENSIONAL OBJECTS 225 10.5 RECOGNITION OF THREE-DIMENSIONAL
OBJECTS 231 10.6 RECOGNITION ACCURACY 241 10.7 RECOGNITION TIME 248 10.8
SUMMARY OF CAMERA EVALUATION 249 PART FOUR: CASE STUDIES 261 11.
AUTOMATED VISUAL INSPECTION SYSTEMS 263 11.1 INTRODUCTION 263 11.2
INSPECTION OF POLISHED SILICON WAFERS 263 11.3 INSPECTION OF
PHARMACEUTICAL BLISTER PACKAGES 269 11.4 SUMMARY 273 12. FUTURE OF
AUTOMATED VISUAL INSPECTION 274 12.1 INTRODUCTION 274 12.2 PROPOSED
FLEXIBLE MANUFACTURING SYSTEM 274 12.3 CHALLENGING VISUAL INSPECTION
PROBLEM 280 12.4 SUMMARY 282 APPENDIX A 283 APPENDIX B 287 REFERENCES
291 INDEX 301 |
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| illustrated | Illustrated |
| indexdate | 2024-09-10T00:54:04Z |
| institution | BVB |
| isbn | 0412708000 |
| language | English |
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| physical | XII, 306 S. Ill., graph. Darst. |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Chapman & Hall |
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| series2 | Intelligent engineering systems series |
| spelling | Rosandich, Ryan G. Verfasser aut Intelligent visual inspection using artificial neural networks Ryan G. Rosandich 1. ed. London [u.a.] Chapman & Hall 1997 XII, 306 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Intelligent engineering systems series Artificial vision Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 s Neuronales Netz (DE-588)4226127-2 s DE-604 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007518041&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Rosandich, Ryan G. Intelligent visual inspection using artificial neural networks Artificial vision Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4129594-8 |
| title | Intelligent visual inspection using artificial neural networks |
| title_auth | Intelligent visual inspection using artificial neural networks |
| title_exact_search | Intelligent visual inspection using artificial neural networks |
| title_full | Intelligent visual inspection using artificial neural networks Ryan G. Rosandich |
| title_fullStr | Intelligent visual inspection using artificial neural networks Ryan G. Rosandich |
| title_full_unstemmed | Intelligent visual inspection using artificial neural networks Ryan G. Rosandich |
| title_short | Intelligent visual inspection |
| title_sort | intelligent visual inspection using artificial neural networks |
| title_sub | using artificial neural networks |
| topic | Artificial vision Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Artificial vision Neural networks (Computer science) Neuronales Netz Maschinelles Sehen |
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