Stochastic Image Processing:
Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing. Although promoted as a promising approach for over thirty years, it has only been in the past few years that the theory and algorithms have developed...
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boston, MA
Springer US
2004
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| Schriftenreihe: | Information Technology: Transmission, Processing, and Storage
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| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-1-4419-8857-7 https://doi.org/10.1007/978-1-4419-8857-7 https://doi.org/10.1007/978-1-4419-8857-7 |
| Zusammenfassung: | Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing. Although promoted as a promising approach for over thirty years, it has only been in the past few years that the theory and algorithms have developed to the point of providing useful solutions to old and new problems in image processing. Markov random fields are a multidimensional extension of Markov chains, but the generalization is complicated by the lack of a natural ordering of pixels in multidimensional spaces. Hidden Markov fields are a natural generalization of the hidden Markov models that have proved essential to the development of modern speech recognition, but again the multidimensional nature of the signals makes them inherently more complicated to handle. This added complexity contributed to the long time required for the development of successful methods and applications. This book collects together a variety of successful approaches to a complete and useful characterization of multidimensional Markov and hidden Markov models along with applications to image analysis. The book provides a survey and comparative development of an exciting and rapidly evolving field of multidimensional Markov and hidden Markov random fields with extensive references to the literature |
| Umfang: | 1 Online-Ressource (XIII, 166 p. 28 illus) |
| ISBN: | 9781441988577 |
| DOI: | 10.1007/978-1-4419-8857-7 |
Internformat
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Datensatz im Suchindex
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| author | Won, Chee Sun Gray, Robert M. |
| author_facet | Won, Chee Sun Gray, Robert M. |
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| author_sort | Won, Chee Sun |
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| discipline | Informatik |
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| id | DE-604.BV045148687 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:19:19Z |
| institution | BVB |
| isbn | 9781441988577 |
| language | English |
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| physical | 1 Online-Ressource (XIII, 166 p. 28 illus) |
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| publishDate | 2004 |
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| publisher | Springer US |
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| series2 | Information Technology: Transmission, Processing, and Storage |
| spelling | Won, Chee Sun Verfasser aut Stochastic Image Processing by Chee Sun Won, Robert M. Gray Boston, MA Springer US 2004 1 Online-Ressource (XIII, 166 p. 28 illus) txt rdacontent c rdamedia cr rdacarrier Information Technology: Transmission, Processing, and Storage Stochastic Image Processing provides the first thorough treatment of Markov and hidden Markov random fields and their application to image processing. Although promoted as a promising approach for over thirty years, it has only been in the past few years that the theory and algorithms have developed to the point of providing useful solutions to old and new problems in image processing. Markov random fields are a multidimensional extension of Markov chains, but the generalization is complicated by the lack of a natural ordering of pixels in multidimensional spaces. Hidden Markov fields are a natural generalization of the hidden Markov models that have proved essential to the development of modern speech recognition, but again the multidimensional nature of the signals makes them inherently more complicated to handle. This added complexity contributed to the long time required for the development of successful methods and applications. This book collects together a variety of successful approaches to a complete and useful characterization of multidimensional Markov and hidden Markov models along with applications to image analysis. The book provides a survey and comparative development of an exciting and rapidly evolving field of multidimensional Markov and hidden Markov random fields with extensive references to the literature Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Image and Speech Processing Electrical Engineering Imaging / Radiology Computer science Radiology Computer graphics Image processing Electrical engineering Probabilistischer Algorithmus (DE-588)4504622-0 gnd rswk-swf Stochastik (DE-588)4121729-9 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 s Stochastik (DE-588)4121729-9 s 1\p DE-604 Probabilistischer Algorithmus (DE-588)4504622-0 s 2\p DE-604 Gray, Robert M. aut Erscheint auch als Druck-Ausgabe 9781461346937 https://doi.org/10.1007/978-1-4419-8857-7 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Won, Chee Sun Gray, Robert M. Stochastic Image Processing Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Image and Speech Processing Electrical Engineering Imaging / Radiology Computer science Radiology Computer graphics Image processing Electrical engineering Probabilistischer Algorithmus (DE-588)4504622-0 gnd Stochastik (DE-588)4121729-9 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4504622-0 (DE-588)4121729-9 (DE-588)4006684-8 |
| title | Stochastic Image Processing |
| title_auth | Stochastic Image Processing |
| title_exact_search | Stochastic Image Processing |
| title_full | Stochastic Image Processing by Chee Sun Won, Robert M. Gray |
| title_fullStr | Stochastic Image Processing by Chee Sun Won, Robert M. Gray |
| title_full_unstemmed | Stochastic Image Processing by Chee Sun Won, Robert M. Gray |
| title_short | Stochastic Image Processing |
| title_sort | stochastic image processing |
| topic | Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Image and Speech Processing Electrical Engineering Imaging / Radiology Computer science Radiology Computer graphics Image processing Electrical engineering Probabilistischer Algorithmus (DE-588)4504622-0 gnd Stochastik (DE-588)4121729-9 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Computer Science Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Image and Speech Processing Electrical Engineering Imaging / Radiology Computer science Radiology Computer graphics Image processing Electrical engineering Probabilistischer Algorithmus Stochastik Bildverarbeitung |
| url | https://doi.org/10.1007/978-1-4419-8857-7 |
| work_keys_str_mv | AT woncheesun stochasticimageprocessing AT grayrobertm stochasticimageprocessing |