Image engineering: volume 2 Image analysis
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin
De Gruyter
2017
|
| Series: | De Gruyter Graduate
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XI, 298 Seiten Illustrationen, Diagramme |
| ISBN: | 9783110520330 |
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Record in the Search Index
| _version_ | 1804177783181541376 |
|---|---|
| adam_text | Contents
1 Introduction to Image Analysis---1
1.1 Image and Image Engineering------1
1.1.1 Image Foundation-----1
1.1.2 Image Engineering----3
1.2 The Scope of Image Analysis----6
1.2.1 Definition and Research Content of Image Analysis--6
1.2.2 Image Analysis System-----10
1.3 Digitization in Image Analysis----12
1.3.1 Discrete Distance----12
1.3.2 Connected Component-------15
1.3.3 Digitizing Model---16
1.3.4 Digital Arcs and Chords----21
1.4 Distance Transforms-----23
1.4.1 Definition and Property----24
1.4.2 Computation of Local Distances-----25
1.4.3 Implementation of Discrete Distance Transformation---
1.5 Overview of the Book----29
1.6 Problems and Questions------30
1.7 Further Reading----32
2 Image Segmentation------33
2.1 Definition and Classification-33
2.1.1 Definition of Segmentation----33
2.1.2 Classification of Algorithms--34
2.2 Basic Technique Groups-----36
2.2.1 Boundary-Based Parallel Algorithms----36
2.2.2 Boundary-Based Sequential Algorithms-----39
2.2.3 Region-based Parallel Algorithms-----41
2.2.4 Region-based Sequential Algorithms----44
2.3 Extension and Generation------46
2.3.1 Extending 2-D Algorithms to 3-D-46
2.3.2 Generalization of Some Techniques-----50
2.4 Segmentation Evaluation-----56
2.4.1 A Survey on Evaluation Methods--56
2.4.2 An Effective Evaluation Method--61
2.4.3 Systematic Comparison-----62
2.5 Problems and Questions------66
2.6 Further Reading----67
3 Object Representation and Description----69
3.1 Classification of Representation and Description--69
3.2 Boundary-Based Representation------71
3.2.1 Taxonomy of Boundary-Based Representation----71
3.2.2 Chain Codes---71
3.2.3 Boundary Segments------72
3.2.4 Polygonal Approximation----73
3.2.5 Boundary Signatures----75
3.2.6 Landmark Points-----77
3.3 Region-Based Representation----79
3.3.1 Taxonomy of Region-Based Representation----79
3.3.2 Bounding Regions----80
3.3.3 Quad-Trees----81
3.3.4 Pyramids-----82
3.3.5 Skeletons----84
3.4 Transform-Based Representation----85
3.4.1 Technique Classification---86
3.4.2 Fourier Boundary Representation---86
3.5 Descriptors for Boundary---88
3.5.1 Some Straightforward Descriptors-----88
3.5.2 Shape Numbers-------90
3.5.3 Boundary Moments-------91
3.6 Descriptors for Regions---92
3.6.1 Some Basic Descriptors----92
3.6.2 Topological Descriptors---97
3.7 Problems and Questions-----101
3.8 Further Reading----103
4 Feature Measurement and Error Analysis----104
4.1 Direct and Indirect Measurements-----104
4.1.1 Direct Measurements----104
4.1.2 Derived Measurements-----105
4.1.3 Measurement Combinations-----105
4.2 Accuracy and Precision---106
4.2.1 Definitions---106
4.2.2 Relationships---107
4.2.3 Statistical Error and Systematic Error-108
4.3 Two Types of Connectivity--109
4.3.1 Boundary Points and Internal Points----109
4.3.2 Object Points and Background Points----110
4.3.3 Separating Connected Components------110
4.3.4 Open Set and Closed Set----111
4.4 Feature Measurement Error----112
4.4.1 Different Factors Influencing Measurement Accuracy ·
4.4.2 Influence of Optical Lens Resolution-113
112
115
4.4.3 Influence of Sampling Density--
4.4.4 Influence of Segmentation---118
4.4.5 Influence of Computation Formulas---123
4.4.6 Combined Influences-----125
4.5 Error Analysis-----126
4.5.1 Upper and Lower Bounds of an 8-Digital Straight
Segment-----126
4.5.2 Approximation Errors----127
4.6 Problems and Questions-----129
4.7 Further Reading---130
5 Texture Analysis---132
5.1 Concepts and Classification--132
5.1.1 Meanings and Scale----132
5.1.2 Research and Application Related to Texture--133
5.1.3 Approaches for Texture Analysis---134
5.2 Statistical Approaches---136
5.2.1 Co-occurrence Matrix----136
5.2.2 Descriptors Based on a Gray-Level Co-occurrence
Matrix---139
5.2.3 Law’s Texture Energy Measurements-----142
5.3 Structural Approaches----144
5.3.1 Two Basic Components-----144
5.3.2 Typical Structural Methods--146
5.3.3 Local Binary Mode----147
5.4 Spectral Approaches-----151
5.4.1 Fourier Spectrum-----151
5.4.2 Bessel-Fourier Spectrum----153
5.4.3 Gabor Spectrum-------154
5.5 Texture Segmentation----156
5.5.1 Supervised Texture Segmentation-----157
5.5.2 Unsupervised Texture Segmentation-----159
5.5.3 Texture Classification Based on Wavelet
Transformation----163
5.6 Problems and Questions-----164
5.7 Further Reading------166
6 Shape Analysis-----167
6.1 Definitions and Tasks---167
6.1.1 Definition of Shape---168
6.1.2 Shape Analysis Tasks----169
6.2 Different Classes of 2-D Shapes--170
6.2.1 Classification of Shapes---170
6.2.2 Further Discussions--170
6.3 Description of Shape Property--173
6.3.1 Compactness Descriptors----173
6.3.2 Complexity Descriptors---177
6.4 Technique-Based Descriptors----181
6.4.1 Polygonal Approximation-Based Shape Descriptors---181
6.4.2 Curvature-Based Shape Descriptors---183
6.5 Wavelet Boundary Descriptors---189
6.5.1 Definition and Normalization---189
6.5.2 Properties of the Wavelet Boundary Descriptor-191
6.5.3 Comparisons with Fourier Descriptors--193
6.6 Fractal Geometry---196
6.6.1 Set and Dimension----196
6.6.2 The Box-Counting Approach-----196
6.6.3 Implementing the Box-Counting Method----198
6.6.4 Discussions----199
6.7 Problems and Questions-----200
6.8 Further Reading----201
7 Motion Analysis---202
7.1 The Purpose and Subject of Motion Analysis--202
7.1.1 Motion Detection---203
7.1.2 Locating and Tracking Moving Objects--203
7.1.3 Moving Object Segmentation and Analysis---204
7.1.4 Three-Dimensional Scene Reconstruction and Motion
Understanding-----204
7.2 Motion Detection---204
7.2.1 Motion Detection Using Image Differences--204
7.2.2 Model-Based Motion Detection-----208
7.3 Moving Object Detection----210
7.3.1 Background Modeling------210
7.3.2 Optical Flow---217
7.3.3 Detecting Specific Movement Pattern---220
7.4 Moving Object Segmentation-----222
7.4.1 Object Segmentation and Motion Information
Extraction---222
7.4.2 Dense Optical Flow Algorithm---223
7.4.3 Parameter and Model-Based Segmentation----227
7.5 Moving Object Tracking---230
7.5.1 Typical Technology---231
7.5.2 Subsequences Decision Strategy----236
7.6 Problems and Questions-----238
7.7 Further Reading----239
8 Mathematical Morphology-------241
8.1 Basic Operations of Binary Morphology----241
8.1.1 Binary Dilation and Erosion---242
8.1.2 Binary Opening and Closing----246
8.2 Combined Operations of Binary Morphology-----250
8.2.1 Hit-or-Miss Transform---250
8.2.2 Binary Composition Operations----251
8.3 Practical Algorithms of Binary Morphology---256
8.3.1 Noise Removal----256
8.3.2 Corner Detection---257
8.3.3 Boundary Extraction----258
8.3.4 Object Detection and Localization--258
8.3.5 Region Filling---259
8.3.6 Extraction of Connected Components----260
8.3.7 Calculation of Region Skeleton---261
8.4 Basic Operations of Grayscale Morphology----262
8.4.1 Grayscale Dilation and Erosion---262
8.4.2 Grayscale Opening and Closing----267
8.5 Combined Operations of Grayscale Morphology-----268
8.5.1 Morphological Gradient----268
8.5.2 Morphological Smoothing------269
8.5.3 Top Hat Transform and Bottom Hat Transform----270
8.5.4 Morphological Filters---270
8.5.5 Soft Morphological Filters---272
8.6 Practical Algorithms of Grayscale Morphology--274
8.6.1 Background Estimation and Elimination----274
8.6.2 Morphological Edge Detection-----275
8.6.3 Cluster Fast Segmentation----277
8.7 Problems and Questions----279
8.8 Further Reading----281
Answers to Selected Problems and Questions-----283
References----287
Index----295
|
| any_adam_object | 1 |
| author | Zhang, Yu-Jin 1954- |
| author_GND | (DE-588)173988539 |
| author_facet | Zhang, Yu-Jin 1954- |
| author_role | aut |
| author_sort | Zhang, Yu-Jin 1954- |
| author_variant | y j z yjz |
| building | Verbundindex |
| bvnumber | BV044460278 |
| classification_rvk | ST 330 |
| ctrlnum | (OCoLC)1002257801 (DE-599)BVBBV044460278 |
| discipline | Informatik |
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| indexdate | 2024-07-10T07:53:34Z |
| institution | BVB |
| isbn | 9783110520330 |
| language | English |
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| physical | XI, 298 Seiten Illustrationen, Diagramme |
| publishDate | 2017 |
| publishDateSearch | 2017 |
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| publisher | De Gruyter |
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| series2 | De Gruyter Graduate |
| spelling | Zhang, Yu-Jin 1954- Verfasser (DE-588)173988539 aut Image engineering volume 2 Image analysis Yu-Jin Zhang Berlin De Gruyter 2017 XI, 298 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier De Gruyter Graduate Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Bildanalyse (DE-588)4145391-8 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Bildverarbeitung (DE-588)4006684-8 s Bildanalyse (DE-588)4145391-8 s Mustererkennung (DE-588)4040936-3 s DE-604 (DE-604)BV044654967 2 Erscheint auch als Online-Ausgabe, PDF 978-3-11-052412-3 Erscheint auch als Online-Ausgabe, EPUB 978-3-11-052428-4 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029860976&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zhang, Yu-Jin 1954- Image engineering Bildverarbeitung (DE-588)4006684-8 gnd Mustererkennung (DE-588)4040936-3 gnd Bildanalyse (DE-588)4145391-8 gnd |
| subject_GND | (DE-588)4006684-8 (DE-588)4040936-3 (DE-588)4145391-8 (DE-588)4123623-3 |
| title | Image engineering |
| title_auth | Image engineering |
| title_exact_search | Image engineering |
| title_full | Image engineering volume 2 Image analysis Yu-Jin Zhang |
| title_fullStr | Image engineering volume 2 Image analysis Yu-Jin Zhang |
| title_full_unstemmed | Image engineering volume 2 Image analysis Yu-Jin Zhang |
| title_short | Image engineering |
| title_sort | image engineering image analysis |
| topic | Bildverarbeitung (DE-588)4006684-8 gnd Mustererkennung (DE-588)4040936-3 gnd Bildanalyse (DE-588)4145391-8 gnd |
| topic_facet | Bildverarbeitung Mustererkennung Bildanalyse Lehrbuch |
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