Industrial image processing: visual quality control in manufacturing
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin [u.a.]
Springer
1999
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008888277&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | 353 S. Ill., graph. Darst. CD-ROM (12 cm) |
| ISBN: | 3540664106 |
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| 100 | 1 | |a Demant, Christian |e Verfasser |4 aut | |
| 240 | 1 | 0 | |a Industrielle Bildverarbeitung |
| 245 | 1 | 0 | |a Industrial image processing |b visual quality control in manufacturing |c Christian Demant ; Bernd Streicher-Abel ; Peter Waszkewitz |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 1999 | |
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| 650 | 4 | |a Image processing |x Digital techniques | |
| 650 | 4 | |a Neural networks (Computer science) | |
| 650 | 4 | |a Optical pattern recognition | |
| 650 | 4 | |a Quality control |x Optical methods | |
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Datensatz im Suchindex
| DE-BY-TUM_call_number | 0001 2005 A 8737 0702 FER 060f 2000 A 70072 |
|---|---|
| DE-BY-TUM_katkey | 1124449 |
| DE-BY-TUM_location | Mag 07 |
| DE-BY-TUM_media_number | 040006093692 040070568986 |
| _version_ | 1821933816486297600 |
| adam_text | 1. Introduction 15
1.1 Why write another book about image processing? 15
1.2 Possibilities and limitations 17
1.3 Types of inspection tasks 19
1.4 Structure of image processing systems 20
1.4.1 Hardware setup 20
1.4.2 Signal flow in the process environment 23
1.4.3 Signal flow within an image processing system 26
1.5 Solution approach 27
1.6 Introductory example 29
1.6.1 Character recognition 30
1.6.2 Thread depth 33
1.6.3 Presence verification 35
1.7 From here 36
2. Overview: Image Preprocessing 39
2.1 Gray scale transformations 40
2.1.1 Look up tables 40
2.1.2 Linear gray level scaling 42
2.1.3 Contrast enhancement 43
2.1.4 Histogram equalization 44
2.1.5 Local contrast enhancement 45
2.2 Image arithmetic 47
2.2.1 Image addition and averaging 47
2.2.2 Image subtraction 48
2.2.3 Minimum and maximum of two images 50
2.2.4 Shading correction 51
2.3 Linear niters 52
2.3.1 Local operations and neighborhoods 52
2.3.2 Principle of linear filters 53
2.3.3 Smoothing filter 56
2.3.4 Edge filters 61
2.4 Median filter 66
2.5 Morphological filters 67
10 Table of Contents
2.6 Other non linear filters 70
2.7 Global operations 71
2.8 Key terms 72
3. Positioning 75
3.1 Position of an individual object 75
3.1.1 Positioning using the entire object 76
3.1.2 Positioning using an edge 78
3.2 Orientation of an individual object 81
3.2.1 Orientation computation using principal axis 81
3.2.2 Distance versus angle signature 84
3.3 Robot positioning 86
3.3.1 Setting of tasks 86
3.3.2 Image processing components 87
3.3.3 Position determination on one object 88
3.3.4 Orientation of an object configuration 89
3.3.5 Comments concerning position adjustment 90
3.4 Key terms 92
4. Overview: Segmentation 95
4.1 Regions of interest 95
4.1.1 Regions and objects 95
4.2 Thresholding 96
4.2.1 Thresholds 97
4.2.2 Threshold determination from histogram analysis 98
4.2.3 Gray level histograms 99
4.2.4 Generalizations of thresholding 102
4.3 Contour tracing 104
4.3.1 Pixel connectedness 104
4.3.2 Generating object contours 106
4.3.3 Contour representation 107
4.4 Edge based methods 108
4.4.1 Edge probing in industrial image scenes 108
4.4.2 Edge detection with subpixel accuracy 109
4.5 Template matching Ill
4.5.1 Basic operation 112
4.5.2 Optimizing template matching 115
4.5.3 Comments on template matching 119
4.6 Key terms 120
5. Mark Identification 125
5.1 Bar code identification 125
5.1.1 Principle of gray level based bar code identification . .. 126
5.1.2 Bar code symbologies 127
5.1.3 Examples of industrial bar code identification 129
Table of Contents 11
5.1.4 Further information 132
5.2 Character recognition 132
5.2.1 Laser etched characters on an IC 132
5.2.2 Basic configuration of the character recognition 133
5.2.3 Fundamental structure of a classifier application 136
5.2.4 Position adjustment on the IC 141
5.2.5 Improving character quality 145
5.2.6 Optimization in operation 148
5.3 Recognition of pin marked digits on metal 149
5.3.1 Illumination 149
5.3.2 Preprocessing 150
5.3.3 Segmentation and classification 150
5.4 Block codes on rolls of film 152
5.5 Print quality inspection 156
5.5.1 Procedure 158
5.5.2 Print quality inspection in individual regions 159
5.5.3 Print quality inspection with automatic subdivision ... 160
5.6 Key terms 161
6. Overview: Classification 165
6.1 What is classification? 165
6.2 Classification as function approximation 167
6.2.1 Machine learning 167
6.2.2 Statistical foundations 169
6.2.3 Constructing classifiers 170
6.3 Instance based classifiers 172
6.3.1 Nearest neighbor classifier 172
6.3.2 RCE networks 174
6.3.3 Radial basis functions 175
6.3.4 Vector quantization 176
6.3.5 Template matching 177
6.3.6 Remarks on instance based classifiers 177
6.4 Function based classifiers 178
6.4.1 Polynomial classifier 178
6.4.2 Multilayer perceptron type neural networks 179
6.4.3 Representation of other classifiers as neural networks . 182
6.5 Remarks on the application of neural networks 183
6.5.1 Composition of the training set 183
6.5.2 Feature scaling 183
6.5.3 Rejection 184
6.5.4 Arbitrariness 185
6.6 Key terms 186
12 Table of Contents
7. Dimensional Checking 191
7.1 Gauging tasks 191
7.2 Simple gauging 192
7.2.1 Center point distance 193
7.2.2 Contour distances 196
7.2.3 Angle measurements 200
7.3 Shape checking on a punched part 201
7.3.1 Inspection task 201
7.3.2 Modeling contours by lines 202
7.3.3 Measuring the contour angle 205
7.4 Angle gauging on toothed belt 205
7.4.1 Illumination setup 206
7.4.2 Edge creation 208
7.5 Shape checking on injection molded part 209
7.5.1 Computing radii 209
7.5.2 Remarks on model circle computation 211
7.6 High accuracy gauging on thread flange 213
7.6.1 Illumination and image capture 213
7.6.2 Subpixel accurate gauging of the thread depth 214
7.7 Calibration 215
7.7.1 Calibration mode 217
7.7.2 Inspection related calibration 217
7.8 Key terms 218
8. Overview: Image Acquisition and Illumination 221
8.1 Solid state sensors 221
8.1.1 CCD sensor operation 222
8.1.2 Properties of CCD sensors 224
8.1.3 Image degradation 226
8.2 Standard video cameras 228
8.2.1 Basic structure 228
8.2.2 The video standard 230
8.2.3 Sampling of the line signal 232
8.2.4 Extensions of the video standard 235
8.2.5 Image quality 236
8.3 Other camera types 238
8.3.1 Progressive scan cameras 238
8.3.2 Asynchronous cameras 238
8.3.3 Digital cameras 239
8.3.4 Line scan cameras 240
8.3.5 Additional camera properties 242
8.4 Transmission to the computer 243
8.4.1 Basic operation of a frame grabber 244
8.4.2 Frame grabbers for standard video cameras 246
8.4.3 Frame grabbers for other camera types 246
Table of Contents 13
8.4.4 Direct digital transmission 248
8.5 Optical foundations 249
8.5.1 F number 249
8.5.2 Thin lens imaging equation 251
8.5.3 Depth of field 255
8.5.4 Typical imaging situations 259
8.5.5 Aberrations 260
8.5.6 Lens selection 262
8.5.7 Special optical devices 264
8.6 Illumination technology 265
8.6.1 Light sources 266
8.6.2 Front lighting 267
8.6.3 Back Lighting 270
8.7 Key terms 272
9. Presence Verification 279
9.1 Simple presence verification 279
9.1.1 Part geometry 280
9.1.2 Illumination 281
9.1.3 Position adjustment 282
9.1.4 Segmentation 284
9.1.5 Evaluation 285
9.1.6 Segmentation with template matching 286
9.2 Simple gauging for assembly verification 288
9.2.1 Illumination 288
9.2.2 Inspection criteria 289
9.2.3 Object creation and measurement computation 291
9.2.4 Position adjustment 292
9.3 Presence verification using classifiers 293
9.3.1 Illumination 293
9.3.2 Inspection of the caulking 297
9.3.3 Type verification of the flange 302
9.4 Contrast free presence verification 306
9.5 Key terms 308
10. Overview: Object Features 311
10.1 Basic geometrical features 311
10.1.1 Enclosing rectangle 311
10.1.2 Area and perimeter 312
10.1.3 Center of gravity 315
10.1.4 Axes and radii 316
10.2 Shape descriptors 317
10.2.1 Curvature 317
10.2.2 Fiber features 320
10.2.3 Euler s number 321
14 Table of Contents
10.2.4 Moments and Fourier descriptors 321
10.3 Gray level features 322
10.3.1 First order statistics 322
10.3.2 Texture features 323
10.4 Key terms 324
11. Outlook: Visual Inspection Projects 327
A. Mathematical Notes 331
A.I Backpropagation training 331
A. 1.1 Neural networks concept and history 331
A.1.2 Fundamentals 332
A. 1.3 Backpropagation 333
A.2 Computation of the depth of field 336
A.2.1 Limit distances 336
A.2.2 Depth of field at infinite distance 339
A.2.3 Dependence of the depth of field on the focal length .. 340
B. The Companion CD 343
References 345
Index 348
|
| any_adam_object | 1 |
| author | Demant, Christian Streicher-Abel, Bernd Waszkewitz, Peter |
| author_facet | Demant, Christian Streicher-Abel, Bernd Waszkewitz, Peter |
| author_role | aut aut aut |
| author_sort | Demant, Christian |
| author_variant | c d cd b s a bsa p w pw |
| building | Verbundindex |
| bvnumber | BV013045812 |
| callnumber-first | T - Technology |
| callnumber-label | TS156 |
| callnumber-raw | TS156.2 |
| callnumber-search | TS156.2 |
| callnumber-sort | TS 3156.2 |
| callnumber-subject | TS - Manufactures |
| classification_rvk | ST 330 ZG 9260 ZQ 6270 |
| classification_tum | FER 060f ELT 530f DAT 760f |
| ctrlnum | (OCoLC)42690090 (DE-599)BVBBV013045812 |
| dewey-full | 670.42 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.42 |
| dewey-search | 670.42 |
| dewey-sort | 3670.42 |
| dewey-tens | 670 - Manufacturing |
| discipline | Technik Informatik Werkstoffwissenschaften / Fertigungstechnik Elektrotechnik / Elektronik / Nachrichtentechnik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
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| id | DE-604.BV013045812 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T10:40:31Z |
| institution | BVB |
| isbn | 3540664106 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008888277 |
| oclc_num | 42690090 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM DE-703 DE-739 DE-1050 DE-91 DE-BY-TUM DE-522 DE-634 DE-83 DE-188 |
| owner_facet | DE-91G DE-BY-TUM DE-703 DE-739 DE-1050 DE-91 DE-BY-TUM DE-522 DE-634 DE-83 DE-188 |
| physical | 353 S. Ill., graph. Darst. CD-ROM (12 cm) |
| publishDate | 1999 |
| publishDateSearch | 1999 |
| publishDateSort | 1999 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Demant, Christian Streicher-Abel, Bernd Waszkewitz, Peter Industrial image processing visual quality control in manufacturing Image processing Digital techniques Neural networks (Computer science) Optical pattern recognition Quality control Optical methods Qualitätskontrolle (DE-588)4047968-7 gnd Bildverarbeitung (DE-588)4006684-8 gnd CD-ROM (DE-588)4139307-7 gnd Visuelle Prüfung (DE-588)4188426-7 gnd NeuroCheck Programm (DE-588)4501657-4 gnd |
| subject_GND | (DE-588)4047968-7 (DE-588)4006684-8 (DE-588)4139307-7 (DE-588)4188426-7 (DE-588)4501657-4 |
| title | Industrial image processing visual quality control in manufacturing |
| title_alt | Industrielle Bildverarbeitung |
| title_auth | Industrial image processing visual quality control in manufacturing |
| title_exact_search | Industrial image processing visual quality control in manufacturing |
| title_full | Industrial image processing visual quality control in manufacturing Christian Demant ; Bernd Streicher-Abel ; Peter Waszkewitz |
| title_fullStr | Industrial image processing visual quality control in manufacturing Christian Demant ; Bernd Streicher-Abel ; Peter Waszkewitz |
| title_full_unstemmed | Industrial image processing visual quality control in manufacturing Christian Demant ; Bernd Streicher-Abel ; Peter Waszkewitz |
| title_short | Industrial image processing |
| title_sort | industrial image processing visual quality control in manufacturing |
| title_sub | visual quality control in manufacturing |
| topic | Image processing Digital techniques Neural networks (Computer science) Optical pattern recognition Quality control Optical methods Qualitätskontrolle (DE-588)4047968-7 gnd Bildverarbeitung (DE-588)4006684-8 gnd CD-ROM (DE-588)4139307-7 gnd Visuelle Prüfung (DE-588)4188426-7 gnd NeuroCheck Programm (DE-588)4501657-4 gnd |
| topic_facet | Image processing Digital techniques Neural networks (Computer science) Optical pattern recognition Quality control Optical methods Qualitätskontrolle Bildverarbeitung CD-ROM Visuelle Prüfung NeuroCheck Programm |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008888277&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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Inhaltsverzeichnis
Paper/Kapitel scannen lassen
Paper/Kapitel scannen lassen
Bibliotheksmagazin
| Signatur: |
0001 2005 A 8737
Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |
Teilbibliothek Maschinenwesen
| Signatur: |
0702 FER 060f 2000 A 70072
Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |