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Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability, 27) Paperback - 2012
by Winkler, Gerhard
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- Paperback
- first
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Details
- Title Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability, 27)
- Author Winkler, Gerhard
- Binding Paperback
- Edition Softcover reprint of the original 1st ed. 1995
- Condition Used: Good
- Pages 324
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2012-01-19
- Bookseller's Inventory # SONG3642975240
- ISBN 9783642975240 / 3642975240
- Weight 1.05 lbs (0.48 kg)
- Dimensions 9.21 x 6.14 x 0.71 in (23.39 x 15.60 x 1.80 cm)
- Size 6.10x0.77x9.25
- Category Technology & Industrial Arts
- Dewey Decimal Code 621.367
- Quantity available 1
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From the publisher
From the rear cover
The book is mainly concerned with the mathematical foundations of Bayesian image analysis and its algorithms. This amounts to the study of Markov random fields and dynamic Monte Carlo algorithms like sampling, simulated annealing and stochastic gradient algorithms. The approach is introductory and elemenatry: given basic concepts from linear algebra and real analysis it is self-contained. No previous knowledge from image analysis is required. Knowledge of elementary probability theory and statistics is certainly beneficial but not absolutely necessary. The necessary background from imaging is sketched and illustrated by a number of concrete applications like restoration, texture segmentation and motion analysis.
