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Markov Random Field Modeling in Image Analysis
Language: en
Pages: 372
Authors: Stan Z. Li
Categories: Computers
Type: BOOK - Published: 2009-04-03 - Publisher: Springer Science & Business Media

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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal
Markov Random Field Modeling in Image Analysis
Language: en
Pages: 338
Authors: Stan Z. Li
Categories: Computers
Type: BOOK - Published: 2013-03-14 - Publisher: Springer Science & Business Media

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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal
Markov Random Fields for Vision and Image Processing
Language: en
Pages: 472
Authors: Andrew Blake
Categories: Computers
Type: BOOK - Published: 2011-07-22 - Publisher: MIT Press

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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
Image Analysis, Random Fields and Dynamic Monte Carlo Methods
Language: en
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Authors: Gerhard Winkler
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Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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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
Markov Random Field Modeling in Computer Vision
Language: en
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Authors: S.Z. Li
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Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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Markov random field (MRF) modeling provides a basis for the characterization of contextual constraints on visual interpretation and enables us to develop optima