Stochastic Models, Statistical Methods, and Algorithms in Image Analysis

1. Edge Preserving Image Restoration.- 2. Boltzmann Machines: High-Order Interactions and Synchronous Learning.- 3. Bayesian 3-D Path Search and Its Applications to Focusing Seismic Data.- 4. Edge Detection and Segmentation of Textured Plane Images.- 5. IFS Algorithms for Wavelet Transforms, Curves and Surfaces, and Image Compression.- 6. Image Restoration by Stochastic Dichotomic Reconstruction of Contour Lines.- 7. A Comparison of Simulated Annealing of Gibbs Sampler and Metropolis Algorithms.- 8. Some Limit Theorems on Simulated Annealing.- 9. Statistical Analysis of Markov Random Fields Using Large Deviation Estimates.- 10. Metropolis Methods, Gaussian Proposals and Antithetic Variables.- 11. The Chi-Square Coding Test for Nested Markov Random Field Hypotheses.- 12. Asymptotic Comparison of Estimators in the Ising Model.- 13. A Remark on the Ergodicity of Systematic Sweep in Stochastic Relaxation.- 14. Application of Bayesian Methods to Segmentation in Medical Images.- 15. Some Suggestions for Transmission Tomography Based on the EM Algorithm.- 16. Deconvolution in Optical Astronomy. A Bayesian Approach.- 17. Parameter Estimation for Imperfectly Observed Gibbs Fields and Some Comments on Chalmond’s EM Gibbsian Algorithm.