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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)
Gerhard Winkler
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Description for Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability)
Paperback. Series: Stochastic Modelling and Applied Probability. Num Pages: 338 pages, biography. BIC Classification: MMP; PBT; UGK; UMZ; UYQP. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 18. Weight in Grams: 516.
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 and popularized by D. and S. GEMAN in a paper from 1984. It formally adopts the Bayesian paradigm and therefore is referred to as 'Bayesian Image Analysis'. There has been considerable and still growing interest in prior models and, in particular, in discrete Markov random field methods. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging. Among those are such 'classical' ... Read more
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 and popularized by D. and S. GEMAN in a paper from 1984. It formally adopts the Bayesian paradigm and therefore is referred to as 'Bayesian Image Analysis'. There has been considerable and still growing interest in prior models and, in particular, in discrete Markov random field methods. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging. Among those are such 'classical' ... Read more
Product Details
Publisher
Springer
Format
Paperback
Publication date
2012
Series
Stochastic Modelling and Applied Probability
Condition
New
Weight
515g
Number of Pages
324
Place of Publication
Berlin, Germany
ISBN
9783642975240
SKU
V9783642975240
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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