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Image Analysis, Random Fields and Markov Chain Monte Carlo Methods : a Mathematical Introduction /

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This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete appli...

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Bibliographic Details
Main Author: Winkler, Gerhard
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2003.
Edition:Second edition.
Series:Applications of Mathematics, Stochastic Modelling and Applied Probability ; 27.
Subjects:
Mathematics.
Medical radiology.
Computer simulation.
Computer vision.
Numerical analysis.
Distribution (Probability theory)
Radiology, Medical.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • I. Bayesian Image Analysis
  • Introduction
  • The Bayesian Paradigm
  • Cleaning Dirty Pictures
  • Random Fields
  • II. The Gibbs Sampler and Simulated Annealing
  • Markov Chains: Limit Theorems
  • Gibbsian Sampling and Annealing
  • Cooling Schedules
  • Gibbsian Sampling and Annealing Revisited
  • III. More on Sampling and Annealing
  • Metropolis Algorithms
  • Eigenvalues and Related Topics
  • Parallel Algorithms
  • IV. Texture Analysis
  • Partitioning
  • Random Fields and Texture Models
  • Bayesian Texture Classification
  • V. Parameter Estimation
  • Maximum Likelihood Estimation
  • Consistency of Spatial ML
  • Computation of full ML Estimators
  • VI. Supplement
  • A Glance at Neural Networks
  • Three Applications
  • VII. Appendix
  • A Simulation of Random Variables.-B Analytical Tools
  • C Physical Imaging Systems.