IMAGE ANALYSIS RANDOM FIELDS AND DYNAMIC MONTE CARLO METHODS: A Mathematical Introduction: v. 27 - Rilegato

Winkler

Rilegato

ISBN 10: 3540570691 ISBN 13: 9783540570691

Casa editrice: Springer Verlag, 1994

Riassunto

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 elementary: 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.

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Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer Verlag
• Data di pubblicazione: 1994
• Lingua: Inglese
• ISBN 10: 3540570691
• ISBN 13: 9783540570691
• Rilegatura: Copertina rigida
• Numero edizione: 2
• Numero di pagine: 338
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com