Author | Winkler, Gerhard. author |
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Title | Image Analysis, Random Fields and Dynamic Monte Carlo Methods [electronic resource] : A Mathematical Introduction / by Gerhard Winkler |
Imprint | Berlin, Heidelberg : Springer Berlin Heidelberg, 1995 |
Connect to | http://dx.doi.org/10.1007/978-3-642-97522-6 |
Descript | XIV, 324 p. online resource |
I. Bayesian Image Analysis: Introduction -- 1. The Bayesian Paradigm -- 2. Cleaning Dirty Pictures -- 3. Random Fields -- II. The Gibbs Sampler and Simulated Annealing -- 4. Markov Chains: Limit Theorems -- 5. Sampling and Annealing -- 6. Cooling Schedules -- 7. Sampling and Annealing Revisited -- III. More on Sampling and Annealing -- 8. Metropolis Algorithms -- 9. Alternative Approaches -- 10. Parallel Algorithms -- IV. Texture Analysis -- 11. Partitioning -- 12. Texture Models and Classification -- V. Parameter Estimation -- 13. Maximum Likelihood Estimators -- 14. Spacial ML Estimation -- VI. Supplement -- 15. A Glance at Neural Networks -- 16. Mixed Applications -- VII. Appendix -- A. Simulation of Random Variables -- B. The Perron-Frobenius Theorem -- C. Concave Functions -- D. A Global Convergence Theorem for Descent Algorithms -- References