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Markov Random Field Modeling in Image Analysis (Advances in Computer Vision and Pattern Recognition)

Stan Z. Li




[PDF.xv49] Markov Random Field Modeling in Image Analysis (Advances in Computer Vision and Pattern Recognition)

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 | #7550781 in Books |  2010-12-10 | Original language:English | PDF # 1 |  9.13 x.87 x6.06l,1.18 | File type: PDF | 362 pages

|| ||From the reviews of the third edition: |"Prof. Li’s book … provides a comprehensive introduction to the area of MRF in general and to its applications in image processing in specific. … is very well written with a plethora of references fo

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, tex...

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