Image Pattern Recognition: fundamentals and applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Milton
Taylor & Francis Group
2022
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVII, 184 Seiten Illustrationen, Diagramme |
| ISBN: | 9780367642167 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV048570064 | ||
| 003 | DE-604 | ||
| 005 | 20230405 | ||
| 007 | t | ||
| 008 | 221121s2022 a||| |||| 00||| eng d | ||
| 020 | |a 9780367642167 |c hardcover |9 978-0-367-64216-7 | ||
| 035 | |a (OCoLC)1357532248 | ||
| 035 | |a (DE-599)BVBBV048570064 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-739 |a DE-1043 | ||
| 082 | 0 | |a 006.42 | |
| 084 | |a ST 330 |0 (DE-625)143663: |2 rvk | ||
| 100 | 1 | |a Rao, L. Koteswara |d ca. 20./21. Jh. |e Verfasser |0 (DE-588)1280185589 |4 aut | |
| 245 | 1 | 0 | |a Image Pattern Recognition |b fundamentals and applications |
| 264 | 1 | |a Milton |b Taylor & Francis Group |c 2022 | |
| 264 | 4 | |c ©2022 | |
| 300 | |a XVII, 184 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Optical pattern recognition-Data processing | |
| 650 | 0 | 7 | |a Bildverarbeitung |0 (DE-588)4006684-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Bildverarbeitung |0 (DE-588)4006684-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Rahman, Zia Ur |d ca. 20./21. Jh. |e Sonstige |0 (DE-588)128020317X |4 oth | |
| 700 | 1 | |a Rohini, P. |d ca. 20./21. Jh. |e Sonstige |0 (DE-588)1280203781 |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-00-046095-7 |
| 856 | 4 | 2 | |m Digitalisierung UB Passau - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033946111&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-033946111 | ||
Datensatz im Suchindex
| _version_ | 1804184586187440128 |
|---|---|
| adam_text | Contents Preface........................................................................................................................... xiii Acknowledgments.......................................................................................................... xv Authors.......................................................................................................................... xvii Chapter 1 Introduction.................................................................................................1 1.1 1.2 1.3 Data Retrieval................................................................................... 1 Content-Based Image Retrieval System........................................ 1 1.2.1 Image Databases................................................................ 2 1.2.2 Extraction of Features and the Creation of Feature Database............................................................................... 3 1.2.3 Query Image....................................................................... 4 1.2.4 Image Matching and Indexing.......................................... 4 1.2.5 Similarity Distance Measures.......... ................................ 5 1.2.6 Relevance Feedback........................................................... 6 1.2.7 Performance Measures.......................................................6 Organization of the Book............................................................... 7 Chapter 2 Features Used for Image Retrieval Systems............................................ 9 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8
Introduction...................................................................................... 9 Color Features.................................................................................. 9 Texture Features............................................................................. 11 Local Features................................................................................ 13 Shape Features............................................................................... 14 Multiple Features........................................................................... 14 Problem Statement.........................................................................22 Methodology.................................................................................. 23 Chapter 3 Improved Directional Local Extrema Patterns...................................... 25 3.1 Introduction.................................................................................... 25 3.2 Local Patterns................................................................................. 25 3.2.1 Local Binary Patterns........................................................ 25 3.2.2 Block-Based Local Binary Patterns................................. 26 3.2.3 Center-Symmetric Local Binary Patterns....................... 26 3.2.4 Local Directional Pattern..................................................26 3.3 Directional Local Extrema Patterns............................................. 27 3.4 Improved Directional Local ExtremaPatterns............................. 27 3.4.1 Combination of Color and
DLEP.................................... 27 vii
Contents viii 3.4.2 Combination of DLEP and Gabor Features.................... 32 3.5 Conclusion...................................................................................... 36 Solved Problems...................................................................................... 36 Histogram................................................................................................ 42 Exercises.................................................................................................. 42 Chapter 4 Local Quantized Extrema Patterns........................................................ 45 4.1 Introduction.................................................................................... 45 4.1.1 Local Quantized Patterns..................................................45 4.2 Local Quantized Extrema Patterns............................................... 45 4.2.1 Proposed Image Retrieval System................................... 47 4.3 Experimental Results and Discussion.......................................... 49 4.3.1 Corel-Ik Database............................................................. 49 4.3.2 Corel-5k Database............................................................. 51 4.3.3 MIT VisTex Database........................................................ 56 4.4 Conclusion......................................................................................60 Solved Problems..................................................................................... 61
Exercises.................................................................................................. 64 Chapter 5 Local Color Oppugnant Quantized Extrema Patterns......................... 65 5.1 Introduction.................................................................................... 65 5.2 Local Color Oppugnant Quantized Extrema Patterns................ 65 5.2.1 Proposed Image Retrieval System................................... 67 5.3 Experimental Results and Discussion......................................... 69 5.3.1 Corel-Ik Database............................................................. 69 5.3.2 Corel-5k Database............................................................. 69 5.3.3 Corel-10k Database........................................................... 74 5.3.4 ImageNet-25k Database.................................................... 75 5.4 Conclusion......................................................................................81 Solved Problems..................................................................................... 81 Exercises.................................................................................................. 83 Chapter 6 Local Mesh Quantized Extrema Patterns............................................. 87 6.1 Introduction.................................................................................... 87 6.2 Local Mesh Quantized Extrema Patterns.................................... 87 6.2.1 Proposed Image Retrieval System................................... 88 6.3 Experimental Results and
Discussion.......................................... 90 6.3.1 MIT VisTex Database........................................................ 90 6.3.2 Corel-Ik............................................................................. 90 6.4 Conclusion......................................................................................94 Solved Problems..................................................................................... 94 Exercises.................................................................................................. 96
ix Contents Chapter 7 Local Patterns for Feature Extraction....................................................99 7.1 7.2 7.3 7.4 Quantized Neighborhood Local Intensity Extrema Patterns for Image Retrieval............................................... 99 7.1.1 Introduction.......................................................................99 7.1.2 Major Advantages Over Other Methods...................... 102 7.1.3 Framework of the Proposed Retrieval System.............102 7.1.4 Image Similarity Measurement..................................... 103 7.1.5 Experimental Results and Discussion.......................... 104 7.1.5.1 Database:!...................................................... 105 7.1.5.2 Database: 2...................................................... 105 7.1.5.3 Database: 3...................................................... 106 7.1.5.4 Database: 4...................................................... 106 7.1.6 Conclusion...................................................................... 109 Magnitude Directional Local Extrema Patterns....................... 109 7.2.1 Introduction..................................................................... 109 7.2.1.1 Our Contribution............................................... 109 7.2.1.2 Review of Related Work.................................. 110 7.2.2 Different Types of Local Patterns................................. 110 7.2.2.1 Local Binary Pattern........................................ 110 7.2.2.2 Local Directional Pattern................................. 110 7.2.2.3 Directional Local Extrema
Patterns................ 110 7.2.2.4 Magnitude Directional Local Extrema Patterns............................... 112 7.2.3 The Proposed CMDLEPSystem................................... 114 7.2.4 Experimental Results..................................................... 114 7.2.5 Conclusion...................................................................... 115 Combination of CDLEP and Gabor Features.......................... 116 7.3.1 Introduction..................................................................... 116 7.3.1.1 Contribution...................................................... 116 7.3.1.2 Related Work.................................................... 116 7.3.2 Gabor Feature.................................................................. 116 7.3.3 Proposed Gabor CDLEPSystem................................... 118 7.3.4 Experimental Results..................................................... 118 7.3.5 Conclusion...................................................................... 119 LEMP: A Robust Image Feature Descriptor for Retrieval Applications.......................................................................119 7.4.1 Introduction...................................................................... 119 7.4.2 Relevant Work.................................................................. 121 7.4.2.1 Prime Contributions.........................................121 7.4.3 Related Local Patterns.................................................... 121 7.4.3.1 Local Binary Patterns..................................... 121 7.4.3.2 Line Edge Binary
Patterns.............................. 122 7.4.3.3 Line Edge Magnitude Patterns.......................123
Contents x 7.5 7.6 7.7 7.8 7.4.4 The Proposed Framework............................................... 124 7.4.4.1 Similarity Measurement................................. 124 7.4.4.2 Performance Evaluation and Discussions.....124 7.4.4.3 Corel-1000 Database.......................................125 7.4.4.4 Corel 5000 Database (DB2)........................... 126 7.4.5 Conclusion....................................................................... 127 Multiple Color Channel Local Extrema Patterns for Image Retrieval..............................................................................128 7.5.1 Introduction..................................................................... 128 7.5.2 Relevant Work................................................................. 130 7.5.2.1 Local Quantized Extrema Patterns................. 130 7.5.3 The Proposed Method.................................................... 130 7.5.4 A MCLEP Feature Vector.............................................. 131 7.5.5 Experimental Results and Discussions......................... 132 7.5.5.1 Corel-lOk...........................................................133 7.5.5.2 ImageNet-25K.................................................. 134 7.5.6 Conclusion.......................................................................134 Integration of MDLEP and Gabor Function as a Feature Vector for Image Retrieval System.................................. 135 7.6.1 Introduction..................................................................... 135 7.6.1.1 Related
Work.................................................... 136 7.6.2 Local Patterns and Variations......................................... 136 7.6.2.1 Directional Local ExtremaPatterns................. 136 7.6.2.2 Magnitude Directional Local Extrema Patterns (MDLEP)............................ 137 7.6.3 Proposed CMDLEP System........................................... 139 7.6.4 Experimental Results......................................................139 7.6.5 Conclusions..................................................................... 140 Content-Based Medical Image Retrieval Using Local Co-Occurrence Patterns.................................................... 141 7.7.1 Introduction..................................................................... 141 7.7.2 Local Patterns...................................................................142 7.7.2.1 Local Binary Patterns......................................142 7.7.2.2 Local Ternary Patterns.................................... 143 7.7.2.3 Local Derivative Patterns................................ 143 7.7.2.4 Local Co-Occurrence Patterns........................ 143 7.7.3 Framework of the Proposed System............................. 146 7.7.3.1 Similarity Measure........................................... 147 7.7.3.2 Evaluation Measures......................................... 147 7.7.4 Experimental Results and Discussions......................... 147 7.7.5 Conclusion....................................................................... 148 Color Based Multi-Directional Local Motif XOR Patterns for Image
Retrieval............................................ 149 7.8.1 Introduction..................................................................... 149
Contents xi 7.9 Chapter 8 7.8.2 Feature Extraction Methods............................................150 7.8.2.1 HSV Color Space and Color Quantization.... 150 7.8.2.2 Directional Binary Code.................................. 150 7.8.2.3 Directional Local Motif XoR Patterns............ 150 7.8.3 Proposed Feature Descriptors....................................... 150 7.8.3.1 Analysis.............................................................150 7.8.4 Experimental Results and Discussions........................ 154 7.8.4.1 Experiment #1.................................................. 154 7.8.4.2 Experiment #2.................................................. 155 7.8.5 Conclusion...................................................................... 156 Quantized Local Trio Patterns for Multimedia Image Retrieval System................................................................ 157 7.9.1 Introduction.....................................................................157 7.9.2 Local Extreme Sign Trio Pattern................................... 157 7.9.3 Proposed Method........................................................... 157 7.9.4 Experimental Results and Discussions........................ 159 7.9.4.1 Corel-10k.......................................................... 161 7.9.5 Conclusion...................................................................... 161 Conclusion and Future Scope............................................................ 163 8.1 8.2 8.3 Summary...................................................................................... 163
Salient Features........................................................................... 163 8.2.1 Improved Directional Local Extrema Patterns............. 163 8.2.2 Local Quantized Extrema Patterns................................ 164 8.2.3 Local Color Oppugnant Quantized Extrema Patterns............................................................................. 164 8.2.4 Local Mesh Quantized Extrema Patterns..................... 164 Future Scope.................................................................................165 References....................................................................................................................167 Index............................................................................................................................. 179
|
| adam_txt |
Contents Preface. xiii Acknowledgments. xv Authors. xvii Chapter 1 Introduction.1 1.1 1.2 1.3 Data Retrieval. 1 Content-Based Image Retrieval System. 1 1.2.1 Image Databases. 2 1.2.2 Extraction of Features and the Creation of Feature Database. 3 1.2.3 Query Image. 4 1.2.4 Image Matching and Indexing. 4 1.2.5 Similarity Distance Measures. . 5 1.2.6 Relevance Feedback. 6 1.2.7 Performance Measures.6 Organization of the Book. 7 Chapter 2 Features Used for Image Retrieval Systems. 9 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8
Introduction. 9 Color Features. 9 Texture Features. 11 Local Features. 13 Shape Features. 14 Multiple Features. 14 Problem Statement.22 Methodology. 23 Chapter 3 Improved Directional Local Extrema Patterns. 25 3.1 Introduction. 25 3.2 Local Patterns. 25 3.2.1 Local Binary Patterns. 25 3.2.2 Block-Based Local Binary Patterns. 26 3.2.3 Center-Symmetric Local Binary Patterns. 26 3.2.4 Local Directional Pattern.26 3.3 Directional Local Extrema Patterns. 27 3.4 Improved Directional Local ExtremaPatterns. 27 3.4.1 Combination of Color and
DLEP. 27 vii
Contents viii 3.4.2 Combination of DLEP and Gabor Features. 32 3.5 Conclusion. 36 Solved Problems. 36 Histogram. 42 Exercises. 42 Chapter 4 Local Quantized Extrema Patterns. 45 4.1 Introduction. 45 4.1.1 Local Quantized Patterns.45 4.2 Local Quantized Extrema Patterns. 45 4.2.1 Proposed Image Retrieval System. 47 4.3 Experimental Results and Discussion. 49 4.3.1 Corel-Ik Database. 49 4.3.2 Corel-5k Database. 51 4.3.3 MIT VisTex Database. 56 4.4 Conclusion.60 Solved Problems. 61
Exercises. 64 Chapter 5 Local Color Oppugnant Quantized Extrema Patterns. 65 5.1 Introduction. 65 5.2 Local Color Oppugnant Quantized Extrema Patterns. 65 5.2.1 Proposed Image Retrieval System. 67 5.3 Experimental Results and Discussion. 69 5.3.1 Corel-Ik Database. 69 5.3.2 Corel-5k Database. 69 5.3.3 Corel-10k Database. 74 5.3.4 ImageNet-25k Database. 75 5.4 Conclusion.81 Solved Problems. 81 Exercises. 83 Chapter 6 Local Mesh Quantized Extrema Patterns. 87 6.1 Introduction. 87 6.2 Local Mesh Quantized Extrema Patterns. 87 6.2.1 Proposed Image Retrieval System. 88 6.3 Experimental Results and
Discussion. 90 6.3.1 MIT VisTex Database. 90 6.3.2 Corel-Ik. 90 6.4 Conclusion.94 Solved Problems. 94 Exercises. 96
ix Contents Chapter 7 Local Patterns for Feature Extraction.99 7.1 7.2 7.3 7.4 Quantized Neighborhood Local Intensity Extrema Patterns for Image Retrieval. 99 7.1.1 Introduction.99 7.1.2 Major Advantages Over Other Methods. 102 7.1.3 Framework of the Proposed Retrieval System.102 7.1.4 Image Similarity Measurement. 103 7.1.5 Experimental Results and Discussion. 104 7.1.5.1 Database:!. 105 7.1.5.2 Database: 2. 105 7.1.5.3 Database: 3. 106 7.1.5.4 Database: 4. 106 7.1.6 Conclusion. 109 Magnitude Directional Local Extrema Patterns. 109 7.2.1 Introduction. 109 7.2.1.1 Our Contribution. 109 7.2.1.2 Review of Related Work. 110 7.2.2 Different Types of Local Patterns. 110 7.2.2.1 Local Binary Pattern. 110 7.2.2.2 Local Directional Pattern. 110 7.2.2.3 Directional Local Extrema
Patterns. 110 7.2.2.4 Magnitude Directional Local Extrema Patterns. 112 7.2.3 The Proposed CMDLEPSystem. 114 7.2.4 Experimental Results. 114 7.2.5 Conclusion. 115 Combination of CDLEP and Gabor Features. 116 7.3.1 Introduction. 116 7.3.1.1 Contribution. 116 7.3.1.2 Related Work. 116 7.3.2 Gabor Feature. 116 7.3.3 Proposed Gabor CDLEPSystem. 118 7.3.4 Experimental Results. 118 7.3.5 Conclusion. 119 LEMP: A Robust Image Feature Descriptor for Retrieval Applications.119 7.4.1 Introduction. 119 7.4.2 Relevant Work. 121 7.4.2.1 Prime Contributions.121 7.4.3 Related Local Patterns. 121 7.4.3.1 Local Binary Patterns. 121 7.4.3.2 Line Edge Binary
Patterns. 122 7.4.3.3 Line Edge Magnitude Patterns.123
Contents x 7.5 7.6 7.7 7.8 7.4.4 The Proposed Framework. 124 7.4.4.1 Similarity Measurement. 124 7.4.4.2 Performance Evaluation and Discussions.124 7.4.4.3 Corel-1000 Database.125 7.4.4.4 Corel 5000 Database (DB2). 126 7.4.5 Conclusion. 127 Multiple Color Channel Local Extrema Patterns for Image Retrieval.128 7.5.1 Introduction. 128 7.5.2 Relevant Work. 130 7.5.2.1 Local Quantized Extrema Patterns. 130 7.5.3 The Proposed Method. 130 7.5.4 A MCLEP Feature Vector. 131 7.5.5 Experimental Results and Discussions. 132 7.5.5.1 Corel-lOk.133 7.5.5.2 ImageNet-25K. 134 7.5.6 Conclusion.134 Integration of MDLEP and Gabor Function as a Feature Vector for Image Retrieval System. 135 7.6.1 Introduction. 135 7.6.1.1 Related
Work. 136 7.6.2 Local Patterns and Variations. 136 7.6.2.1 Directional Local ExtremaPatterns. 136 7.6.2.2 Magnitude Directional Local Extrema Patterns (MDLEP). 137 7.6.3 Proposed CMDLEP System. 139 7.6.4 Experimental Results.139 7.6.5 Conclusions. 140 Content-Based Medical Image Retrieval Using Local Co-Occurrence Patterns. 141 7.7.1 Introduction. 141 7.7.2 Local Patterns.142 7.7.2.1 Local Binary Patterns.142 7.7.2.2 Local Ternary Patterns. 143 7.7.2.3 Local Derivative Patterns. 143 7.7.2.4 Local Co-Occurrence Patterns. 143 7.7.3 Framework of the Proposed System. 146 7.7.3.1 Similarity Measure. 147 7.7.3.2 Evaluation Measures. 147 7.7.4 Experimental Results and Discussions. 147 7.7.5 Conclusion. 148 Color Based Multi-Directional Local Motif XOR Patterns for Image
Retrieval. 149 7.8.1 Introduction. 149
Contents xi 7.9 Chapter 8 7.8.2 Feature Extraction Methods.150 7.8.2.1 HSV Color Space and Color Quantization. 150 7.8.2.2 Directional Binary Code. 150 7.8.2.3 Directional Local Motif XoR Patterns. 150 7.8.3 Proposed Feature Descriptors. 150 7.8.3.1 Analysis.150 7.8.4 Experimental Results and Discussions. 154 7.8.4.1 Experiment #1. 154 7.8.4.2 Experiment #2. 155 7.8.5 Conclusion. 156 Quantized Local Trio Patterns for Multimedia Image Retrieval System. 157 7.9.1 Introduction.157 7.9.2 Local Extreme Sign Trio Pattern. 157 7.9.3 Proposed Method. 157 7.9.4 Experimental Results and Discussions. 159 7.9.4.1 Corel-10k. 161 7.9.5 Conclusion. 161 Conclusion and Future Scope. 163 8.1 8.2 8.3 Summary. 163
Salient Features. 163 8.2.1 Improved Directional Local Extrema Patterns. 163 8.2.2 Local Quantized Extrema Patterns. 164 8.2.3 Local Color Oppugnant Quantized Extrema Patterns. 164 8.2.4 Local Mesh Quantized Extrema Patterns. 164 Future Scope.165 References.167 Index. 179 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Rao, L. Koteswara ca. 20./21. Jh |
| author_GND | (DE-588)1280185589 (DE-588)128020317X (DE-588)1280203781 |
| author_facet | Rao, L. Koteswara ca. 20./21. Jh |
| author_role | aut |
| author_sort | Rao, L. Koteswara ca. 20./21. Jh |
| author_variant | l k r lk lkr |
| building | Verbundindex |
| bvnumber | BV048570064 |
| classification_rvk | ST 330 |
| ctrlnum | (OCoLC)1357532248 (DE-599)BVBBV048570064 |
| dewey-full | 006.42 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.42 |
| dewey-search | 006.42 |
| dewey-sort | 16.42 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01608nam a2200385zc 4500</leader><controlfield tag="001">BV048570064</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230405 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">221121s2022 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780367642167</subfield><subfield code="c">hardcover</subfield><subfield code="9">978-0-367-64216-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1357532248</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048570064</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-739</subfield><subfield code="a">DE-1043</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.42</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 330</subfield><subfield code="0">(DE-625)143663:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rao, L. Koteswara</subfield><subfield code="d">ca. 20./21. Jh.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1280185589</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Image Pattern Recognition</subfield><subfield code="b">fundamentals and applications</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Milton</subfield><subfield code="b">Taylor & Francis Group</subfield><subfield code="c">2022</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XVII, 184 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Optical pattern recognition-Data processing</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bildverarbeitung</subfield><subfield code="0">(DE-588)4006684-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bildverarbeitung</subfield><subfield code="0">(DE-588)4006684-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rahman, Zia Ur</subfield><subfield code="d">ca. 20./21. Jh.</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)128020317X</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rohini, P.</subfield><subfield code="d">ca. 20./21. Jh.</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)1280203781</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-00-046095-7</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Passau - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033946111&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033946111</subfield></datafield></record></collection> |
| id | DE-604.BV048570064 |
| illustrated | Illustrated |
| index_date | 2024-07-03T21:01:59Z |
| indexdate | 2024-07-10T09:41:41Z |
| institution | BVB |
| isbn | 9780367642167 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033946111 |
| oclc_num | 1357532248 |
| open_access_boolean | |
| owner | DE-739 DE-1043 |
| owner_facet | DE-739 DE-1043 |
| physical | XVII, 184 Seiten Illustrationen, Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Taylor & Francis Group |
| record_format | marc |
| spelling | Rao, L. Koteswara ca. 20./21. Jh. Verfasser (DE-588)1280185589 aut Image Pattern Recognition fundamentals and applications Milton Taylor & Francis Group 2022 ©2022 XVII, 184 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Optical pattern recognition-Data processing Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 s DE-604 Rahman, Zia Ur ca. 20./21. Jh. Sonstige (DE-588)128020317X oth Rohini, P. ca. 20./21. Jh. Sonstige (DE-588)1280203781 oth Erscheint auch als Online-Ausgabe 978-1-00-046095-7 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=033946111&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Rao, L. Koteswara ca. 20./21. Jh Image Pattern Recognition fundamentals and applications Optical pattern recognition-Data processing Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4006684-8 |
| title | Image Pattern Recognition fundamentals and applications |
| title_auth | Image Pattern Recognition fundamentals and applications |
| title_exact_search | Image Pattern Recognition fundamentals and applications |
| title_exact_search_txtP | Image Pattern Recognition fundamentals and applications |
| title_full | Image Pattern Recognition fundamentals and applications |
| title_fullStr | Image Pattern Recognition fundamentals and applications |
| title_full_unstemmed | Image Pattern Recognition fundamentals and applications |
| title_short | Image Pattern Recognition |
| title_sort | image pattern recognition fundamentals and applications |
| title_sub | fundamentals and applications |
| topic | Optical pattern recognition-Data processing Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Optical pattern recognition-Data processing Bildverarbeitung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033946111&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT raolkoteswara imagepatternrecognitionfundamentalsandapplications AT rahmanziaur imagepatternrecognitionfundamentalsandapplications AT rohinip imagepatternrecognitionfundamentalsandapplications |