Handbook of texture analysis /:
Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be...
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| Other Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London : Singapore ; Hackensack, NJ :
Imperial College Press ; Distributed by World Scientific,
©2008.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications. Currently, the main approaches to texture ana. |
| Physical Description: | 1 online resource (x, 413 pages) : illustrations (some color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781848161160 1848161166 |
Staff View
MARC
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| 245 | 0 | 0 | |a Handbook of texture analysis / |c edited by Majid Mirmehdi, Xianghua Xie, Jasjit Suri. |
| 260 | |a London : |b Imperial College Press ; |a Singapore ; |a Hackensack, NJ : |b Distributed by World Scientific, |c ©2008. | ||
| 300 | |a 1 online resource (x, 413 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Preface; Contents; Chapter 1 Introduction to Texture Analysis E.R. Davies; 1.1. Introduction -- The Idea of a Texture; 1.2. A Simple Texture Analysis Technique and Its Limitations; 1.3. Autocorrelation and Fourier Methods; 1.4. Grey-Level Co-Occurrence Matrices; 1.5. The Texture Energy Approach; 1.6. The Eigenfilter Approach; 1.7. Appraisal of the Texture Energy and Eigenfilter Approaches; 1.8. Problems with Texture Segmentation; 1.9. An X-Ray Inspection Application; 1.9.1. Further details of the algorithm; 1.10. Other Approaches to Texture Analysis; 1.10.1. Fractal-based measures of texture. | |
| 505 | 8 | |a 1.10.2. Markov random field models of texture1.10.3. Structural approaches to texture analysis; 1.10.4. 3D shape from texture; 1.10.5. More recent developments; 1.11. Concluding Remarks; Acknowledgements; References; Chapter 2 Texture Modelling and Synthesis R. Paget; 2.1. Introduction; 2.1.1. Texture perception; 2.2. Texture Analysis; 2.3. Texture Synthesis Modelling; 2.4. Milestones in Texture Synthesis; 2.4.1. Popat and Picard, '93: Novel cluster-based probability model for texture synthesis, classi cation, and compression. 43. | |
| 505 | 8 | |a 2.4.2. Heeger and Bergen, '95: Pyramid based texture analysis/synthesis402.4.3. De Bonet, '97: Multiresolution sampling procedure for analysis and synthesis of texture images39; 2.4.4. Zhu, Wu, and Mumford, '97, '98: FRAME: Filters, random elds and maximum entropy towards a uni ed theory for texture modelling46,47; 2.4.5. Simoncelli and Portilla, '98: Texture characterisation via joint statistics of wavelet coe cient magnitudes48; 2.4.6. Paget and Longsta, '98: Texture synthesis via a nonparametric Markov random eld model20. | |
| 505 | 8 | |a 2.4.7. Efros and Leung, '99: Texture synthesis by non-parametric sampling492.4.8. Wei and Levoy, '00: Fast texture synthesis using tree-structured vector quantisation50; 2.4.9. Zhu, Liu and Wu, '00: Julesz ensemble51; 2.4.10. Xu, Guo and Shum, '00: Chaos mosaic: fast and memory e cient texture synthesis53 and Y.Q. Xu, S.C. Zhu, B.N. Guo, and H.Y. Shum, '01 \Asymptotically Admissible Texture Synthesis""54; 2.4.11. Liang et al., '01: Real-time texture synthesis by patch-based sampling55; 2.4.12. Ashikhmin, '01: Synthesising natural textures56. | |
| 505 | 8 | |a 2.4.13. Hertzmann et al., '01 Image analogies: A general texture transfer framework572.4.14. Efros and Freeman, '01: Image quilting: stitch together patches of input image, texture transfer58; 2.4.15. Zelinka and Garland, '02: Towards Real-Time Texture Synthesis with the Jump Map59; 2.4.16. Tong et al., '02: Synthesis of bidirectional texture functions on arbitrary surfaces61; 2.4.17. Nealen and Alexa, '03: Hybrid texture synthesis62; 2.4.18. Kwatra et al., '03: Graphcut textures: Image and video synthesis using graph cuts64; 2.5. Further Developments; 2.6. Summary; References. | |
| 520 | |a Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications. Currently, the main approaches to texture ana. | ||
| 650 | 0 | |a Computer vision. |0 http://id.loc.gov/authorities/subjects/sh85029549 | |
| 650 | 0 | |a Visual texture recognition. |0 http://id.loc.gov/authorities/subjects/sh85143938 | |
| 650 | 6 | |a Vision par ordinateur. | |
| 650 | 6 | |a Reconnaissance optique des textures. | |
| 650 | 7 | |a SCIENCE |x Nanoscience. |2 bisacsh | |
| 650 | 7 | |a Computer vision |2 fast | |
| 650 | 7 | |a Visual texture recognition |2 fast | |
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| 700 | 1 | |a Mirmehdi, Majid. | |
| 700 | 1 | |a Xie, Xianghua. | |
| 700 | 1 | |a Suri, Jasjit S. | |
| 758 | |i has work: |a Handbook of texture analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFHHgd83Q8KhvWfjBGhYCP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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| contents | Preface; Contents; Chapter 1 Introduction to Texture Analysis E.R. Davies; 1.1. Introduction -- The Idea of a Texture; 1.2. A Simple Texture Analysis Technique and Its Limitations; 1.3. Autocorrelation and Fourier Methods; 1.4. Grey-Level Co-Occurrence Matrices; 1.5. The Texture Energy Approach; 1.6. The Eigenfilter Approach; 1.7. Appraisal of the Texture Energy and Eigenfilter Approaches; 1.8. Problems with Texture Segmentation; 1.9. An X-Ray Inspection Application; 1.9.1. Further details of the algorithm; 1.10. Other Approaches to Texture Analysis; 1.10.1. Fractal-based measures of texture. 1.10.2. Markov random field models of texture1.10.3. Structural approaches to texture analysis; 1.10.4. 3D shape from texture; 1.10.5. More recent developments; 1.11. Concluding Remarks; Acknowledgements; References; Chapter 2 Texture Modelling and Synthesis R. Paget; 2.1. Introduction; 2.1.1. Texture perception; 2.2. Texture Analysis; 2.3. Texture Synthesis Modelling; 2.4. Milestones in Texture Synthesis; 2.4.1. Popat and Picard, '93: Novel cluster-based probability model for texture synthesis, classi cation, and compression. 43. 2.4.2. Heeger and Bergen, '95: Pyramid based texture analysis/synthesis402.4.3. De Bonet, '97: Multiresolution sampling procedure for analysis and synthesis of texture images39; 2.4.4. Zhu, Wu, and Mumford, '97, '98: FRAME: Filters, random elds and maximum entropy towards a uni ed theory for texture modelling46,47; 2.4.5. Simoncelli and Portilla, '98: Texture characterisation via joint statistics of wavelet coe cient magnitudes48; 2.4.6. Paget and Longsta, '98: Texture synthesis via a nonparametric Markov random eld model20. 2.4.7. Efros and Leung, '99: Texture synthesis by non-parametric sampling492.4.8. Wei and Levoy, '00: Fast texture synthesis using tree-structured vector quantisation50; 2.4.9. Zhu, Liu and Wu, '00: Julesz ensemble51; 2.4.10. Xu, Guo and Shum, '00: Chaos mosaic: fast and memory e cient texture synthesis53 and Y.Q. Xu, S.C. Zhu, B.N. Guo, and H.Y. Shum, '01 \Asymptotically Admissible Texture Synthesis""54; 2.4.11. Liang et al., '01: Real-time texture synthesis by patch-based sampling55; 2.4.12. Ashikhmin, '01: Synthesising natural textures56. 2.4.13. Hertzmann et al., '01 Image analogies: A general texture transfer framework572.4.14. Efros and Freeman, '01: Image quilting: stitch together patches of input image, texture transfer58; 2.4.15. Zelinka and Garland, '02: Towards Real-Time Texture Synthesis with the Jump Map59; 2.4.16. Tong et al., '02: Synthesis of bidirectional texture functions on arbitrary surfaces61; 2.4.17. Nealen and Alexa, '03: Hybrid texture synthesis62; 2.4.18. Kwatra et al., '03: Graphcut textures: Image and video synthesis using graph cuts64; 2.5. Further Developments; 2.6. Summary; References. |
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| genre_facet | Electronic books. Aufsatzsammlung. |
| id | ZDB-4-EBA-ocn827947357 |
| illustrated | Illustrated |
| indexdate | 2025-04-11T08:41:15Z |
| institution | BVB |
| isbn | 9781848161160 1848161166 |
| language | English |
| oclc_num | 827947357 |
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| owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 1 online resource (x, 413 pages) : illustrations (some color) |
| psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
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| publisher | Imperial College Press ; Distributed by World Scientific, |
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| spelling | Handbook of texture analysis / edited by Majid Mirmehdi, Xianghua Xie, Jasjit Suri. London : Imperial College Press ; Singapore ; Hackensack, NJ : Distributed by World Scientific, ©2008. 1 online resource (x, 413 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Print version record. Preface; Contents; Chapter 1 Introduction to Texture Analysis E.R. Davies; 1.1. Introduction -- The Idea of a Texture; 1.2. A Simple Texture Analysis Technique and Its Limitations; 1.3. Autocorrelation and Fourier Methods; 1.4. Grey-Level Co-Occurrence Matrices; 1.5. The Texture Energy Approach; 1.6. The Eigenfilter Approach; 1.7. Appraisal of the Texture Energy and Eigenfilter Approaches; 1.8. Problems with Texture Segmentation; 1.9. An X-Ray Inspection Application; 1.9.1. Further details of the algorithm; 1.10. Other Approaches to Texture Analysis; 1.10.1. Fractal-based measures of texture. 1.10.2. Markov random field models of texture1.10.3. Structural approaches to texture analysis; 1.10.4. 3D shape from texture; 1.10.5. More recent developments; 1.11. Concluding Remarks; Acknowledgements; References; Chapter 2 Texture Modelling and Synthesis R. Paget; 2.1. Introduction; 2.1.1. Texture perception; 2.2. Texture Analysis; 2.3. Texture Synthesis Modelling; 2.4. Milestones in Texture Synthesis; 2.4.1. Popat and Picard, '93: Novel cluster-based probability model for texture synthesis, classi cation, and compression. 43. 2.4.2. Heeger and Bergen, '95: Pyramid based texture analysis/synthesis402.4.3. De Bonet, '97: Multiresolution sampling procedure for analysis and synthesis of texture images39; 2.4.4. Zhu, Wu, and Mumford, '97, '98: FRAME: Filters, random elds and maximum entropy towards a uni ed theory for texture modelling46,47; 2.4.5. Simoncelli and Portilla, '98: Texture characterisation via joint statistics of wavelet coe cient magnitudes48; 2.4.6. Paget and Longsta, '98: Texture synthesis via a nonparametric Markov random eld model20. 2.4.7. Efros and Leung, '99: Texture synthesis by non-parametric sampling492.4.8. Wei and Levoy, '00: Fast texture synthesis using tree-structured vector quantisation50; 2.4.9. Zhu, Liu and Wu, '00: Julesz ensemble51; 2.4.10. Xu, Guo and Shum, '00: Chaos mosaic: fast and memory e cient texture synthesis53 and Y.Q. Xu, S.C. Zhu, B.N. Guo, and H.Y. Shum, '01 \Asymptotically Admissible Texture Synthesis""54; 2.4.11. Liang et al., '01: Real-time texture synthesis by patch-based sampling55; 2.4.12. Ashikhmin, '01: Synthesising natural textures56. 2.4.13. Hertzmann et al., '01 Image analogies: A general texture transfer framework572.4.14. Efros and Freeman, '01: Image quilting: stitch together patches of input image, texture transfer58; 2.4.15. Zelinka and Garland, '02: Towards Real-Time Texture Synthesis with the Jump Map59; 2.4.16. Tong et al., '02: Synthesis of bidirectional texture functions on arbitrary surfaces61; 2.4.17. Nealen and Alexa, '03: Hybrid texture synthesis62; 2.4.18. Kwatra et al., '03: Graphcut textures: Image and video synthesis using graph cuts64; 2.5. Further Developments; 2.6. Summary; References. Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications. Currently, the main approaches to texture ana. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Visual texture recognition. http://id.loc.gov/authorities/subjects/sh85143938 Vision par ordinateur. Reconnaissance optique des textures. SCIENCE Nanoscience. bisacsh Computer vision fast Visual texture recognition fast Maschinelles Sehen gnd http://d-nb.info/gnd/4129594-8 Texturanalyse gnd http://d-nb.info/gnd/4184965-6 Electronic books. Aufsatzsammlung. Aufsatzsammlung. swd Mirmehdi, Majid. Xie, Xianghua. Suri, Jasjit S. has work: Handbook of texture analysis (Text) https://id.oclc.org/worldcat/entity/E39PCFHHgd83Q8KhvWfjBGhYCP https://id.oclc.org/worldcat/ontology/hasWork Print version: Handbook of texture analysis. London : Imperial College Press ; Singapore ; Hackensack, NJ : Distributed by World Scientific, ©2008 9781848161153 (DLC) 2009275474 (OCoLC)213479529 |
| spellingShingle | Handbook of texture analysis / Preface; Contents; Chapter 1 Introduction to Texture Analysis E.R. Davies; 1.1. Introduction -- The Idea of a Texture; 1.2. A Simple Texture Analysis Technique and Its Limitations; 1.3. Autocorrelation and Fourier Methods; 1.4. Grey-Level Co-Occurrence Matrices; 1.5. The Texture Energy Approach; 1.6. The Eigenfilter Approach; 1.7. Appraisal of the Texture Energy and Eigenfilter Approaches; 1.8. Problems with Texture Segmentation; 1.9. An X-Ray Inspection Application; 1.9.1. Further details of the algorithm; 1.10. Other Approaches to Texture Analysis; 1.10.1. Fractal-based measures of texture. 1.10.2. Markov random field models of texture1.10.3. Structural approaches to texture analysis; 1.10.4. 3D shape from texture; 1.10.5. More recent developments; 1.11. Concluding Remarks; Acknowledgements; References; Chapter 2 Texture Modelling and Synthesis R. Paget; 2.1. Introduction; 2.1.1. Texture perception; 2.2. Texture Analysis; 2.3. Texture Synthesis Modelling; 2.4. Milestones in Texture Synthesis; 2.4.1. Popat and Picard, '93: Novel cluster-based probability model for texture synthesis, classi cation, and compression. 43. 2.4.2. Heeger and Bergen, '95: Pyramid based texture analysis/synthesis402.4.3. De Bonet, '97: Multiresolution sampling procedure for analysis and synthesis of texture images39; 2.4.4. Zhu, Wu, and Mumford, '97, '98: FRAME: Filters, random elds and maximum entropy towards a uni ed theory for texture modelling46,47; 2.4.5. Simoncelli and Portilla, '98: Texture characterisation via joint statistics of wavelet coe cient magnitudes48; 2.4.6. Paget and Longsta, '98: Texture synthesis via a nonparametric Markov random eld model20. 2.4.7. Efros and Leung, '99: Texture synthesis by non-parametric sampling492.4.8. Wei and Levoy, '00: Fast texture synthesis using tree-structured vector quantisation50; 2.4.9. Zhu, Liu and Wu, '00: Julesz ensemble51; 2.4.10. Xu, Guo and Shum, '00: Chaos mosaic: fast and memory e cient texture synthesis53 and Y.Q. Xu, S.C. Zhu, B.N. Guo, and H.Y. Shum, '01 \Asymptotically Admissible Texture Synthesis""54; 2.4.11. Liang et al., '01: Real-time texture synthesis by patch-based sampling55; 2.4.12. Ashikhmin, '01: Synthesising natural textures56. 2.4.13. Hertzmann et al., '01 Image analogies: A general texture transfer framework572.4.14. Efros and Freeman, '01: Image quilting: stitch together patches of input image, texture transfer58; 2.4.15. Zelinka and Garland, '02: Towards Real-Time Texture Synthesis with the Jump Map59; 2.4.16. Tong et al., '02: Synthesis of bidirectional texture functions on arbitrary surfaces61; 2.4.17. Nealen and Alexa, '03: Hybrid texture synthesis62; 2.4.18. Kwatra et al., '03: Graphcut textures: Image and video synthesis using graph cuts64; 2.5. Further Developments; 2.6. Summary; References. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Visual texture recognition. http://id.loc.gov/authorities/subjects/sh85143938 Vision par ordinateur. Reconnaissance optique des textures. SCIENCE Nanoscience. bisacsh Computer vision fast Visual texture recognition fast Maschinelles Sehen gnd http://d-nb.info/gnd/4129594-8 Texturanalyse gnd http://d-nb.info/gnd/4184965-6 |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85029549 http://id.loc.gov/authorities/subjects/sh85143938 http://d-nb.info/gnd/4129594-8 http://d-nb.info/gnd/4184965-6 |
| title | Handbook of texture analysis / |
| title_auth | Handbook of texture analysis / |
| title_exact_search | Handbook of texture analysis / |
| title_full | Handbook of texture analysis / edited by Majid Mirmehdi, Xianghua Xie, Jasjit Suri. |
| title_fullStr | Handbook of texture analysis / edited by Majid Mirmehdi, Xianghua Xie, Jasjit Suri. |
| title_full_unstemmed | Handbook of texture analysis / edited by Majid Mirmehdi, Xianghua Xie, Jasjit Suri. |
| title_short | Handbook of texture analysis / |
| title_sort | handbook of texture analysis |
| topic | Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Visual texture recognition. http://id.loc.gov/authorities/subjects/sh85143938 Vision par ordinateur. Reconnaissance optique des textures. SCIENCE Nanoscience. bisacsh Computer vision fast Visual texture recognition fast Maschinelles Sehen gnd http://d-nb.info/gnd/4129594-8 Texturanalyse gnd http://d-nb.info/gnd/4184965-6 |
| topic_facet | Computer vision. Visual texture recognition. Vision par ordinateur. Reconnaissance optique des textures. SCIENCE Nanoscience. Computer vision Visual texture recognition Maschinelles Sehen Texturanalyse Electronic books. Aufsatzsammlung. |
| work_keys_str_mv | AT mirmehdimajid handbookoftextureanalysis AT xiexianghua handbookoftextureanalysis AT surijasjits handbookoftextureanalysis |