[PDF.19pt] Markov Random Fields in Image Segmentation (Foundations and Trends(r) in Signal Processing)

Markov Random Fields in Image Segmentation (Foundations and Trends(r) in Signal Processing)

[PDF.wp92] Markov Random Fields in Image Segmentation (Foundations and Trends(r) in Signal Processing)

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 | #1408432 in Books |  Now Publishers Inc |  2012-09-26 | Original language:English | PDF # 1 |  9.21 x.36 x6.14l,.54 | File type: PDF | 168 pages

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Markov Random Fields in Image Segmentation provides an introduction to the fundamentals of Markovian modeling in image segmentation as well as a brief overview of recent advances in the field. Segmentation is formulated within an image labeling framework, where the problem is reduced to assigning labels to pixels. In a probabilistic approach, label dependencies are modeled by Markov random fields (MRF) and an optimal labeling is determined by Bayesian estimation, in part...

You can specify the type of files you want, for your device.Markov Random Fields in Image Segmentation (Foundations and Trends(r) in Signal Processing)   |  Zoltan Kato, Josiane Zerubia. A good, fresh read, highly recommended.

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