Markov Random Field Modeling In Computer Vision
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Language: en
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Pages: 274
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
Markov random field (MRF) modeling provides a basis for the characterization of contextual constraints on visual interpretation and enables us to develop optima
Language: en
Pages: 372
Pages: 372
Type: BOOK - Published: 2009-04-03 - Publisher: Springer Science & Business Media
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal
Language: en
Pages: 472
Pages: 472
Type: BOOK - Published: 2011-07-22 - Publisher: MIT Press
State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. This volume demonstrates the power of the Markov random fi
Language: en
Pages: 321
Pages: 321
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
This text is concerned with a probabilistic approach to image analysis as initiated by U. GRENANDER, D. and S. GEMAN, B.R. HUNT and many others, and developed a
Language: en
Pages: 608
Pages: 608
Type: BOOK - Published: 1993 - Publisher:
Introduces the theory and application of Markov random fields in image processing/computer vision. Modelling images through the local interaction of Markov mode