Synopsis
This book introduces the theory and applications of Markov Random Fields in image processing and computer vision. Modeling images through the local interaction of Markov models has resulted in useful algorithms for problems in texture analysis, image synthesis, image restoration, image segmentation, surface reconstruction and integration of low-level visual modules. All of the contributors are leading researchers from the United States and Europe.
Presents statistical modeling of two- and three-dimensional images
Includes Markov Random Fields, Gibbs Distribution, and Simulated Annealing
Explains integration or fusion of images
Covers image segmentation, texture analysis, and image restoration using MRF models of context
Gives a systematic development of algorithms for image processing, analysis, and computer vision
Presents parallel algorithms for image processing, analysis, and computer vision
"synopsis" may belong to another edition of this title.
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Markov Random Fields
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Hardcover. Condition: Fine. Hardcover small quarto in glossy purple paper-backed boards; xii, 581 pages: b/w illustrations; 24 cm. Markov random fields, Image modeling, Gauss, Single-Photon Emission Tomography From the library of Dr. Donald A. Glaser, inventor of the bubble chamber. Nobel Prize in Physics, 1961; Search keyword DGLSR to see dozens of volumes from The Glaser Collection. Fine / as new copies for for private library spine labels. Appears unread. Seller Inventory # 88820
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Markov Random Fields: Theory and Application
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Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_424733245