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Machine vision algorithms in Java: techniques and implementation

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Bibliographic Details
Main Authors:	Whelan, Paul F. (Author), Molloy, Derek 1973- (Author)
Format:	Book
Language:	English
Published:	London ; Berlin ; Heidelberg ; New York ; Barcelona ; Hong Kong Springer 2001
Subjects:	Graphische Programmierung Java <Programmiersprache> Maschinelles Sehen Mathematische Morphologie Java > Programmiersprache
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009046699&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Physical Description:	XVII, 284 S. Ill., graph. Darst.
ISBN:	1852332182

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MARC


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adam_text	CONTENTS 1. AN INTRODUCTION TO MACHINE VISION . 1 1.1 HUMAN, COMPUTER AND MACHINE VISION . 1 1.2 VISION SYSTEM HARDWARE . 5 1.3 VISION SYSTEM SOFTWARE . 6 1.4 MACHINE VISION SYSTEM DESIGN . 7 1.4.1 IMAGE ACQUISITION . 7 1.4.2 IMAGE REPRESENTATION . 8 1.4.3 IMAGE PROCESSING . 10 1.4.4 IMAGE ANALYSIS . 10 1.4.5 IMAGE CLASSIFICATION . 12 1.4.6 SYSTEMS ENGINEERING . 16 1.5 NEAT VISION: WHERE JAVA MEETS MACHINE VISION . 17 1.5.1 NEATVISIONS GRAPHICAL USER INTERFACE (GUI) . 18 2. JAVA FUNDAMENTALS . 21 2.1 THE HISTORY OF JAVA . 21 2.1.1 WHAT MAKES JAVA PLATFORM INDEPENDENT? . 22 2.1.2 THE JUST-IN-TIME COMPILER . 22 2.1.3 THE SUN JAVA SOFTWARE DEVELOPMENT KIT (JAVA SDK) . 23 2.2 OBJECT-ORIENTED PROGRAMMING . 23 2.2.1 ENCAPSULATION . 24 2.2.2 CLASSES . 24 2.2.3 OBJECTS . 25 2.2.4 INHERITANCE . 25 2.2.5 POLYMORPHISM . 27 2.2.6 ABSTRACT CLASSES . 27 2.3 JAVA LANGUAGE BASICS . 28 2.3.1 VARIABLES . 28 2.3.2 ACCESS CONTROL . 28 2.3.3 JAVA TYPES . 29 2.3.4 JAVA OPERATORS . 29 2.3.5 JAVA COMMENTS . 29 2.3.6 THE SUPER AND THIS KEYWORDS . 30 2.3.7 JAVA ARRAYS . 31 XIV CONTENTS 2.3.8 THE " OBJECT " AND " CLASS " CLASSES . 31 2.3.9 INTERFACES . 31 2.3.10 PACKAGES . 32 2.4 APPLICATIONS AND APPLETS . 33 2.4.1 WRITING APPLICATIONS . 33 2.4.2 APPLETS . 34 2.4.3 AN APPLET AND AN APPLICATION? . 35 2.5 JAVA AND IMAGE PROCESSING . 36 2.5.1 THE CANVAS CLASS . 36 2.5.2 JAVA AND IMAGES . 38 2.5.3 IMAGE PRODUCERS AND IMAGE CONSUMERS . 41 2.5.4 RECOVERING PIXEL DATA FROM AN IMAGE OBJECT . 41 2.5.5 RECREATING AN IMAGE OBJECT FROM AN ARRAY OF PIXELS . 44 2.6 ADDITIONAL CLASSES . 45 2.6.1 COLORMODEL . 45 2.6.2 IMAGEFILTER . 45 2.6.3 CROPIMAGEFILTER . 46 2.6.4 RGBIMAGEFILTER . 46 2.6.5 FILTEREDLMAGESOURCE . 47 2.7 DOUBLE BUFFERING . 47 2.8 RECENT ADDITIONS TO JAVA FOR IMAGING . 49 2.8.1 JAVA 2D API . 49 2.8.2 WORKING WITH THE JAVA 2D API . 50 2.8.3 RENDERABLE LAYER AND RENDERED LAYER . 54 2.8.4 JAVA ADVANCED IMAGING API (JAI) . 54 2.8.5 JAI FUNCTIONALITY . 56 2.9 ADDITIONAL INFORMATION ON JAVA . 58 2.10 CONCLUSION . 59 3. MACHINE VISION TECHNIQUES . 61 3.1 ELEMENTARY IMAGE PROCESSING FUNCTIONS . 61 3.1.1 MONADIC, POINT-BY-POINT OPERATORS . 62 3.1.2 INTENSITY HISTOGRAM . 65 3.1.3 LOOK-UP TABLES (LUT) . 66 3.1.4 DYADIC, POINT-BY-POINT OPERATORS . 70 3.2 LOCAL OPERATORS . 73 3.2.1 LINEAR LOCAL OPERATORS . 74 3.2.2 NON-LINEAR LOCAL OPERATORS . 79 3.2.3 EDGE DETECTORS . 82 3.2.4 N-TUPLE OPERATORS . 90 3.2.5 EDGE EFFECTS . 91 3.2.6 GREY SCALE CORNER DETECTION . 93 3.3 BINARY IMAGES . 96 3.3.1 BOOLEAN OPERATORS . 98 3.3.2 CONNECTED COMPONENT (BLOB) ANALYSIS . 99 CONTENTS XV 3.3.3 MEASUREMENTS ON BINARY IMAGES . 112 3.3.4 RUN-LENGTH CODING . 115 3.3.5 SHAPE DESCRIPTORS . 115 3.4 GLOBAL IMAGE TRANSFORMS . 116 3.4.1 GEOMETRIC TRANSFORMS . 116 3.4.2 DISTANCE TRANSFORMS . 117 3.4.3 HOUGH TRANSFORM . 119 3.4.4 TWO-DIMENSIONAL DISCRETE FOURIER TRANSFORM (DFT) . 124 3.5 CONCLUSION . 134 4. MATHEMATICAL MORPHOLOGY . 137 4.1 BINARY MATHEMATICAL MORPHOLOGY . 138 4.1.1 DILATION AND EROSION . 138 4.1.2 HIT-AND-MISS TRANSFORM . 143 4.1.3 OPENING AND CLOSING . 145 4.1.4 SKELETONISATION . 145 4.1.5 STRUCTURING ELEMENT DECOMPOSITION . 146 4.1.6 INTERVAL CODING . 148 4.2 GREY SCALE MATHEMATICAL MORPHOLOGY . 149 4.2.1 BASIC GREY SCALE OPERATORS . 150 4.2.2 NOISE REMOVAL USING GREY SCALE MORPHOLOGY . 152 4.2.3 MORPHOLOGICAL GRADIENTS . 152 4.2.4 POINT-PAIRS . 156 4.2.5 TOP-HAT TRANSFORM . 157 4.3 MORPHOLOGICAL RECONSTRUCTION . 160 4.3.1 CONDITIONAL DILATION . 161 4.3.2 GEODESIC DILATION . 162 4.3.3 GEODESIC EROSION . 162 4.3.4 RECONSTRUCTION BY DILATION . 163 4.3.5 RECONSTRUCTION BY EROSION . 163 4.3.6 ULTIMATE EROSION . 163 4.3.7 DOUBLE THRESHOLD . 163 4.3.8 IMAGE MAXIMA . 164 4.3.9 IMAGE MINIMA . 165 4.4 MORPHOLOGICAL SEGMENTATION . 165 4.4.1 SKELETON INFLUENCE BY ZONES (SKIZ) . 165 4.4.2 WATERSHED SEGMENTATION . 165 4.5 CASE STUDY: GEOMETRIC PACKING . 169 4.5.1 GEOMETRIC PACKER IMPLEMENTATION . 169 4.6 MORPHOLOGICAL SYSTEM IMPLEMENTATION . 174 4.7 CONCLUSION . 174 XVI CONTENTS 5. TEXTURE ANALYSIS . 175 5.1 TEXTURE AND IMAGES . 175 5.2 EDGE DENSITY . 175 5.3 MONTE-CARLO METHOD . 176 5.4 AUTO-CORRELATION FUNCTION (ACF) . 177 5.5 FOURIER SPECTRAL ANALYSIS . 177 5.6 HISTOGRAM FEATURES . 178 5.7 GREY LEVEL RUN LENGTH METHOD (GLRLM) . 178 5.8 GREY LEVEL DIFFERENCE METHOD (GLDM) . 178 5.9 CO-OCCURRENCE ANALYSIS . 179 5.9.1 ENERGY, OR ANGULAR SECOND MOMENT . 181 5.9.2 ENTROPY . 181 5.9.3 INERTIA . 182 5.9.4 LOCAL HOMOGENEITY (LH) . 182 5.10 MORPHOLOGICAL TEXTURE ANALYSIS . 183 5.10.1 MORPHOLOGICAL RATIO . 183 5.10.2 GRANULARITY . 184 5.11 FRACTAL ANALYSIS . 184 5.12 TEXTURAL ENERGY . 185 5.13 TEXTURE SPECTRUM METHOD . 186 5.14 LOCAL BINARY PATTERNS (LBP) . 187 5.15 RANDOM FIELD MODELS . 187 5.16 SPATIAL / FREQUENCY METHODS . 188 5.17 AUTOREGRESSIVE MODEL . 189 5.18 STRUCTURAL APPROACHES TO TEXTURE ANALYSIS . 189 5.19 CONCLUSION . 189 6. COLOUR IMAGE ANALYSIS . 191 6.1 COLOUR CAMERAS . 191 6.2 RED-GREEN-BLUE (RGB) COLOUR REPRESENTATION . 193 6.2.1 MAXWELL ' S COLOUR TRIANGLE . 195 6.2.2 ONE-DIMENSIONAL HISTOGRAMS: COLOUR SEPARATIONS . 197 6.2.3 TWO-DIMENSIONAL SCATTERGRAMS . 197 6.3 HUE-SATURATION-INTENSITY (HSI) COLOUR REPRESENTATION . 198 6.3.1 COLOUR SCATTERGRAMS . 203 6.4 OPPONENT PROCESS REPRESENTATION . 203 6.5 YIQ COLOUR REPRESENTATION . 204 6.6 YUV COLOUR REPRESENTATION . 205 6.7 CIE CHROMATICITY DIAGRAM . 206 6.8 CIEXYZ COLOUR REPRESENTATION . 206 6.9 CIELUV COLOUR REPRESENTATION . 208 6.10 CIELAB COLOUR REPRESENTATION . 209 6.11 SPATIAL CIELAB COLOUR REPRESENTATION . 209 6.11.1 SEGMENTING COLOUR TEXTURES . 210 6.12 PROGRAMMABLE COLOUR FILTER (PCF) . 211 CONTENTS XVII 6.12.1 PCF IMPLEMENTATION . 211 6.12.2 RECOGNISING A SINGLE COLOUR . 214 6.12.3 NOISE EFFECTS . 215 6.12.4 COLOUR GENERALISATION . 217 6.13 CONCLUSION . 219 7. NEATVISION: VISUAL PROGRAMMING FOR MACHINE VISION . 223 7.1 VISUAL PROGRAMMING IN NEATVISION . 224 7.1.1 INPUT AND OUTPUT COMPONENTS . 225 7.1.2 PROCESSING COMPONENTS . 226 7.1.3 FLOW CONTROL COMPONENTS . 227 7.1.4 SYSTEM DEVELOPMENT . 231 7.1.5 SAMPLE PROGRAMME . 231 7.2 JAVA PROGRAMMING IN NEATVISION . 233 7.2.1 DATA FLOW PROGRAMMING . 233 7.2.2 STANDARD COMPONENT ARCHITECTURE . 235 7.2.3 ADDING FUNCTIONALITY . 237 7.2.4 EXAMPLES . 237 7.3 THE NEATVISION APPLICATION . 245 7.3.1 VISUAL PROGRAMMING IN NEATVISION . 245 7.3.2 IMAGE PROCESSING . 247 7.3.3 OTHER USER INTERFACES . 249 7.3.4 THE INTEGRATED SOFTWARE DEVELOPMENT ENVIRONMENT . 251 7.3.5 THE HELP VIEWER . 252 7.4 SAMPLE APPLICATIONS . 254 7.4.1 LOW-LEVEL PROGRAMMING . 254 7.4.2 HIGH-LEVEL PROGRAMMING . 256 7.4.3 ISOLATING THE LARGEST ITEM IN AN IMAGE . 257 7.4.4 BOTTLE-TOP INSPECTION . 258 7.4.5 PLANT-STEM LOCATION . 259 7.5 CONCLUSION . 259 A. NEATVISION GRAPHIC FILE FORMATS . 261 B. NEATVISION IMAGING API SPECIFICATION . 263 B.L GREYIMAGE CLASS . 264 B.2 RGB IMAGE CLASS . 265 C. NEATVISION COMPONENTS . 269 REFERENCES . 273 INDEX . 279
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spellingShingle	Whelan, Paul F. Molloy, Derek 1973- Machine vision algorithms in Java techniques and implementation Graphische Programmierung Java <Programmiersprache> Maschinelles Sehen Mathematische Morphologie Java Programmiersprache (DE-588)4401313-9 gnd Mathematische Morphologie (DE-588)4505783-7 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
subject_GND	(DE-588)4401313-9 (DE-588)4505783-7 (DE-588)4129594-8
title	Machine vision algorithms in Java techniques and implementation
title_auth	Machine vision algorithms in Java techniques and implementation
title_exact_search	Machine vision algorithms in Java techniques and implementation
title_full	Machine vision algorithms in Java techniques and implementation Paul F. Whelan and Derek Molloy
title_fullStr	Machine vision algorithms in Java techniques and implementation Paul F. Whelan and Derek Molloy
title_full_unstemmed	Machine vision algorithms in Java techniques and implementation Paul F. Whelan and Derek Molloy
title_short	Machine vision algorithms in Java
title_sort	machine vision algorithms in java techniques and implementation
title_sub	techniques and implementation
topic	Graphische Programmierung Java <Programmiersprache> Maschinelles Sehen Mathematische Morphologie Java Programmiersprache (DE-588)4401313-9 gnd Mathematische Morphologie (DE-588)4505783-7 gnd Maschinelles Sehen (DE-588)4129594-8 gnd
topic_facet	Graphische Programmierung Java <Programmiersprache> Maschinelles Sehen Mathematische Morphologie Java Programmiersprache
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work_keys_str_mv	AT whelanpaulf machinevisionalgorithmsinjavatechniquesandimplementation AT molloyderek machinevisionalgorithmsinjavatechniquesandimplementation

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