Verfügbarkeit: Machine vision algorithms and applications

Machine vision algorithms and applications:

"This first up-to-date textbook for machine vision software provides all the details on the theory and practical use of the relevant algorithms. Uniting the latest research results with an industrial approach, this textbook is ideal for students of electrical engineering, physics and informatic...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Steger, Carsten (VerfasserIn), Ulrich, Markus (VerfasserIn), Wiedemann, Christian (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Weinheim WILEY-VCH Verl. 2008
Ausgabe:	1. reprint
Schriftenreihe:	Wiley-VCH Textbook
Schlagworte:	Algorithmes Vision par ordinateur Computer algorithms Computer vision Mustererkennung Maschinelles Sehen Patentschrift
Online-Zugang:	http://deposit.dnb.de/cgi-bin/dokserv?id=2973571&prov=M&dok_var=1&dok_ext=htm Inhaltsverzeichnis
Zusammenfassung:	"This first up-to-date textbook for machine vision software provides all the details on the theory and practical use of the relevant algorithms. Uniting the latest research results with an industrial approach, this textbook is ideal for students of electrical engineering, physics and informatics, electrical and mechanical engineers, as well as those working in the sensor, automation and optical industries."--BOOK JACKET.
Beschreibung:	X, 360 S. Ill., graph. Darst.
ISBN:	3527407340 9783527407347

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adam_text	CARSTEN STEGER, MARKUS ULRICH, AND CHRISTIAN WIEDEMANN MACHINE VISION ALGORITHMS AND APPLICATIONS WILEY- VCH WILEY-VCH VERLAG GMBH & CO. KGAA V CONTENTS PREFACE IX 1 INTRODUCTION 1 2 IMAGE ACQUISITION 5 2. 1 ILLUMINATION 5 2.1.1 ELECTROMAGNETIC RADIATION 5 2.1.2 TYPES OF LIGHT SOURCES 7 2.1.3 INTERACTION OF LIGHT AND MATTER 8 2. 1.4 USING THE SPECTRAL COMPOSITION OF THE ILLUMINATION 10 2. 1.5 USING THE DIRECTIONAL PROPERTIES OF THE ILLUMINATION 12 2.2 LENSES 17 2.2.1 PINHOLE CAMERAS 18 2.2.2 GAUSSIAN OPTICS 18 2.2.3 DEPTHOFFIELD 24 2.2.4 TELECENTRIC LENSES 27 2.2.5 LENS ABERRATIONS 30 2.3 CAMERAS 55 2.3.1 CCD SENSORS 36 2.3.2 CMOS SENSORS 40 2.3.3 COLOR CAMERAS 42 23.4 SENSOR SIZES 45 2.3.5 CAMERA PERFORMANCE 45 2.4 CAMERA-COMPUTER INTERFACES 49 2.4.1 ANALOG VIDEO SIGNALS 49 2.4.2 DIGITAL VIDEO SIGNALS: CAMERA LINK 54 2.4.3 DIGITAL VIDEO SIGNALS: IEEE 1394 55 2.4.4 DIGITAL VIDEO SIGNALS: USB 2.0 57 2.4.5 DIGITAL VIDEO SIGNALS: GIGABIT ETHERNET 58 2.4.6 IMAGE ACQUISITION MODES 61 MACHINE VISION ALGORITHMS AND APPLICATIONS. CARSTEN STEGER, MARKUS ULRICH, AND CHRISTIAN WIEDEMANN COPYRIGHT 2008 WILEY-VCH VERLAG GMBH & CO. KGAA, WEINHEIM ISBN: 978-3-527-40734-7 CONTENTS 3 MACHINE VISION ALGORITHMS 65 3.1 FUNDAMENTAL DATA STRUCTURES 65 3.1.1 IMAGES 65 3.1.2 REGIONS 66 3.1.3 SUBPIXEL-PRECISE CONTOURS 69 3.2 IMAGE ENHANCEMENT 70 3.2.1 GRAY VALUE TRANSFORMATIONS 70 3.2.2 RADIOMETRIE CALIBRATION 73 3.2.3 IMAGE SMOOTHING 78 3.2.4 FOURIER TRANSFORM 89 3.3 GEOMETRIE TRANSFORMATIONS 94 3.3.1 AFFINE TRANSFORMATIONS 94 3.3.2 PROJECTIVE TRANSFORMATIONS 95 3.3.3 IMAGE TRANSFORMATIONS 96 3.3.4 POLAR TRANSFORMATIONS 700 3.4 IMAGE SEGMENTATION 102 3.4.1 THRESHOLDING 102 3.4.2 EXTRACTION OF CONNECTED COMPONENTS 777 3.4.3 SUBPIXEL-PRECISE THRESHOLDING 113 3.5 FEATURE EXTRACTION 115 3.5.1 REGION FEATURES 776 3.5.2 GRAY VALUE FEATURES 720 3.5.3 CONTOUR FEATURES 124 3.6 MORPHOLOGY 125 3.6.1 REGION MORPHOLOGY 725 3.6.2 GRAY VALUE MORPHOLOGY 740 3.7 EDGE EXTRACTION 144 3.7.1 DEFINITION OF EDGES IN 1D AND 2D 745 3.7.2 1D EDGE EXTRACTION 749 3.7.3 2D EDGE EXTRACTION 755 3.7.4 ACCURACY OF EDGES 762 3.8 SEGMENTATION AND FITTING OF GEOMETRIE PRIMITIVES 769 3.8.1 FITTING LINES 770 3.8.2 FITTING CIRCLES 774 3.8.3 FITTING ELLIPSES 775 3.8.4 SEGMENTATION OF CONTOURS INTO LINES, CIRCLES, AND ELLIPSES 3.9 CAMERA CALIBRATION 780 3.9.1 CAMERA MODELS FOR AREA SCAN CAMERAS 787 3.9.2 CAMERA MODEL FOR LINE SCAN CAMERAS 185 3.9.3 CALIBRATION PROCESS 188 3.9.4 WORLD COORDINATES FROM SINGLE IMAGES 193 3.9.5 ACCURACY OF THE CAMERA PARAMETERS 796 .10 STEREO RECONSTRUCTION 198 3.10.1 STEREO GEOMETRY 799 3.10.2 STEREO MATCHING 207 3.11 TEMPLATE MATCHING 211 3.11.1 GRAY-VALUE-BASED TEMPLATE MATCHING 212 3.11.2 MATCHING USING IMAGE PYRAMIDS 217 3.11.3 SUBPIXEL-ACCURATE GRAY-VALUE-BASED MATCHING 221 3.11.4 TEMPLATE MATCHING WITH ROTATIONS AND SCALINGS 222 3.11.5 ROBUST TEMPLATE MATCHING 222 3.12 OPTICAL CHARACTER RECOGNITION 241 3.12.1 CHARACTER SEGMENTATION 241 3.12.2 FEATURE EXTRACTION 243 3.12.3 CLASSIFICATION 246 4 MACHINE VISION APPLICATIONS 263 4.1 WAFERDICING 263 4.2 READING OF SERIAL NUMBERS 269 A3 INSPECTION OF SAW BLADES 276 4.4 PRINT INSPECTION 281 4.5 INSPECTION OF BALL GRID ARRAYS (BGA) 285 4.6 SURFACE INSPECTION 293 4.1 MEASURING OF SPARK PLUGS 301 4.8 MOLDING FLASH DETECTION 307 4.9 INSPECTION OF PUNCHED SHEETS 316 4.10 3D PLANE RECONSTRUCTION WITH STEREO 320 4.11 POSE VERIFICATION OF RESISTORS 328 4.12 CLASSIFICATION OF NON-WOVEN FABRICS 334 REFERENCES 339 INDEX 347
adam_txt	CARSTEN STEGER, MARKUS ULRICH, AND CHRISTIAN WIEDEMANN MACHINE VISION ALGORITHMS AND APPLICATIONS WILEY- VCH WILEY-VCH VERLAG GMBH & CO. KGAA V CONTENTS PREFACE IX 1 INTRODUCTION 1 2 IMAGE ACQUISITION 5 2. 1 ILLUMINATION 5 2.1.1 ELECTROMAGNETIC RADIATION 5 2.1.2 TYPES OF LIGHT SOURCES 7 2.1.3 INTERACTION OF LIGHT AND MATTER 8 2. 1.4 USING THE SPECTRAL COMPOSITION OF THE ILLUMINATION 10 2. 1.5 USING THE DIRECTIONAL PROPERTIES OF THE ILLUMINATION 12 2.2 LENSES 17 2.2.1 PINHOLE CAMERAS 18 2.2.2 GAUSSIAN OPTICS 18 2.2.3 DEPTHOFFIELD 24 2.2.4 TELECENTRIC LENSES 27 2.2.5 LENS ABERRATIONS 30 2.3 CAMERAS 55 2.3.1 CCD SENSORS 36 2.3.2 CMOS SENSORS 40 2.3.3 COLOR CAMERAS 42 23.4 SENSOR SIZES 45 2.3.5 CAMERA PERFORMANCE 45 2.4 CAMERA-COMPUTER INTERFACES 49 2.4.1 ANALOG VIDEO SIGNALS 49 2.4.2 DIGITAL VIDEO SIGNALS: CAMERA LINK 54 2.4.3 DIGITAL VIDEO SIGNALS: IEEE 1394 55 2.4.4 DIGITAL VIDEO SIGNALS: USB 2.0 57 2.4.5 DIGITAL VIDEO SIGNALS: GIGABIT ETHERNET 58 2.4.6 IMAGE ACQUISITION MODES 61 MACHINE VISION ALGORITHMS AND APPLICATIONS. CARSTEN STEGER, MARKUS ULRICH, AND CHRISTIAN WIEDEMANN COPYRIGHT 2008 WILEY-VCH VERLAG GMBH & CO. KGAA, WEINHEIM ISBN: 978-3-527-40734-7 CONTENTS 3 MACHINE VISION ALGORITHMS 65 3.1 FUNDAMENTAL DATA STRUCTURES 65 3.1.1 IMAGES 65 3.1.2 REGIONS 66 3.1.3 SUBPIXEL-PRECISE CONTOURS 69 3.2 IMAGE ENHANCEMENT 70 3.2.1 GRAY VALUE TRANSFORMATIONS 70 3.2.2 RADIOMETRIE CALIBRATION 73 3.2.3 IMAGE SMOOTHING 78 3.2.4 FOURIER TRANSFORM 89 3.3 GEOMETRIE TRANSFORMATIONS 94 3.3.1 AFFINE TRANSFORMATIONS 94 3.3.2 PROJECTIVE TRANSFORMATIONS 95 3.3.3 IMAGE TRANSFORMATIONS 96 3.3.4 POLAR TRANSFORMATIONS 700 3.4 IMAGE SEGMENTATION 102 3.4.1 THRESHOLDING 102 3.4.2 EXTRACTION OF CONNECTED COMPONENTS 777 3.4.3 SUBPIXEL-PRECISE THRESHOLDING 113 3.5 FEATURE EXTRACTION 115 3.5.1 REGION FEATURES 776 3.5.2 GRAY VALUE FEATURES 720 3.5.3 CONTOUR FEATURES 124 3.6 MORPHOLOGY 125 3.6.1 REGION MORPHOLOGY 725 3.6.2 GRAY VALUE MORPHOLOGY 740 3.7 EDGE EXTRACTION 144 3.7.1 DEFINITION OF EDGES IN 1D AND 2D 745 3.7.2 1D EDGE EXTRACTION 749 3.7.3 2D EDGE EXTRACTION 755 3.7.4 ACCURACY OF EDGES 762 3.8 SEGMENTATION AND FITTING OF GEOMETRIE PRIMITIVES 769 3.8.1 FITTING LINES 770 3.8.2 FITTING CIRCLES 774 3.8.3 FITTING ELLIPSES 775 3.8.4 SEGMENTATION OF CONTOURS INTO LINES, CIRCLES, AND ELLIPSES 3.9 CAMERA CALIBRATION 780 3.9.1 CAMERA MODELS FOR AREA SCAN CAMERAS 787 3.9.2 CAMERA MODEL FOR LINE SCAN CAMERAS 185 3.9.3 CALIBRATION PROCESS 188 3.9.4 WORLD COORDINATES FROM SINGLE IMAGES 193 3.9.5 ACCURACY OF THE CAMERA PARAMETERS 796 .10 STEREO RECONSTRUCTION 198 3.10.1 STEREO GEOMETRY 799 3.10.2 STEREO MATCHING 207 3.11 TEMPLATE MATCHING 211 3.11.1 GRAY-VALUE-BASED TEMPLATE MATCHING 212 3.11.2 MATCHING USING IMAGE PYRAMIDS 217 3.11.3 SUBPIXEL-ACCURATE GRAY-VALUE-BASED MATCHING 221 3.11.4 TEMPLATE MATCHING WITH ROTATIONS AND SCALINGS 222 3.11.5 ROBUST TEMPLATE MATCHING 222 3.12 OPTICAL CHARACTER RECOGNITION 241 3.12.1 CHARACTER SEGMENTATION 241 3.12.2 FEATURE EXTRACTION 243 3.12.3 CLASSIFICATION 246 4 MACHINE VISION APPLICATIONS 263 4.1 WAFERDICING 263 4.2 READING OF SERIAL NUMBERS 269 A3 INSPECTION OF SAW BLADES 276 4.4 PRINT INSPECTION 281 4.5 INSPECTION OF BALL GRID ARRAYS (BGA) 285 4.6 SURFACE INSPECTION 293 4.1 MEASURING OF SPARK PLUGS 301 4.8 MOLDING FLASH DETECTION 307 4.9 INSPECTION OF PUNCHED SHEETS 316 4.10 3D PLANE RECONSTRUCTION WITH STEREO 320 4.11 POSE VERIFICATION OF RESISTORS 328 4.12 CLASSIFICATION OF NON-WOVEN FABRICS 334 REFERENCES 339 INDEX 347
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spelling	Steger, Carsten Verfasser aut Machine vision algorithms and applications Carsten Steger, Markus Ulrich and Christian Wiedemann 1. reprint Weinheim WILEY-VCH Verl. 2008 X, 360 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Wiley-VCH Textbook "This first up-to-date textbook for machine vision software provides all the details on the theory and practical use of the relevant algorithms. Uniting the latest research results with an industrial approach, this textbook is ideal for students of electrical engineering, physics and informatics, electrical and mechanical engineers, as well as those working in the sensor, automation and optical industries."--BOOK JACKET. Algorithmes Vision par ordinateur Computer algorithms Computer vision Mustererkennung (DE-588)4040936-3 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf (DE-588)4173536-5 Patentschrift gnd-content Maschinelles Sehen (DE-588)4129594-8 s Mustererkennung (DE-588)4040936-3 s DE-604 Ulrich, Markus Verfasser aut Wiedemann, Christian Verfasser aut http://deposit.dnb.de/cgi-bin/dokserv?id=2973571&prov=M&dok_var=1&dok_ext=htm GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016227336&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Steger, Carsten Ulrich, Markus Wiedemann, Christian Machine vision algorithms and applications Algorithmes Vision par ordinateur Computer algorithms Computer vision Mustererkennung (DE-588)4040936-3 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
subject_GND	(DE-588)4040936-3 (DE-588)4129594-8 (DE-588)4173536-5
title	Machine vision algorithms and applications
title_auth	Machine vision algorithms and applications
title_exact_search	Machine vision algorithms and applications
title_exact_search_txtP	Machine vision algorithms and applications
title_full	Machine vision algorithms and applications Carsten Steger, Markus Ulrich and Christian Wiedemann
title_fullStr	Machine vision algorithms and applications Carsten Steger, Markus Ulrich and Christian Wiedemann
title_full_unstemmed	Machine vision algorithms and applications Carsten Steger, Markus Ulrich and Christian Wiedemann
title_short	Machine vision algorithms and applications
title_sort	machine vision algorithms and applications
topic	Algorithmes Vision par ordinateur Computer algorithms Computer vision Mustererkennung (DE-588)4040936-3 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
topic_facet	Algorithmes Vision par ordinateur Computer algorithms Computer vision Mustererkennung Maschinelles Sehen Patentschrift
url	http://deposit.dnb.de/cgi-bin/dokserv?id=2973571&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016227336&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT stegercarsten machinevisionalgorithmsandapplications AT ulrichmarkus machinevisionalgorithmsandapplications AT wiedemannchristian machinevisionalgorithmsandapplications

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