This volume comprises a collection of papers by world- renowned experts on image analysis. The papers range from survey articles to research papers, and from theoretical topics such as simulated annealing through to applied image reconstruction. It covers applications as diverse as biomedicine, astronomy, and geophysics. As a result, any researcher working on image analysis will find this book provides an up-to-date overview of the field and in addition, the extensive bibliographies will make this a useful reference.
Author(s): Mona Abdalla, Jim Kay (auth.), Piero Barone, Arnoldo Frigessi, Mauro Piccioni (eds.)
Series: Lecture Notes in Statistics 74
Edition: 1
Publisher: Springer-Verlag New York
Year: 1992
Language: English
Pages: 258
Tags: Statistics, general
Front Matter....Pages I-VI
Edge Preserving Image Restoration....Pages 1-13
Boltzmann Machines : High-Order Interactions and Synchronous Learning....Pages 14-45
Bayesian 3-D Path Search and Its Applications to Focusing Seismic Data....Pages 46-74
Edge Detection and Segmentation of Textured Plane Images....Pages 75-88
IFS Algorithms for Wavelet Transforms, Curves and Surfaces, and Image Compression....Pages 89-100
Image restoration by stochastic dichotomic reconstruction of contour lines....Pages 101-116
A Comparison of Simulated Annealing of Gibbs Sampler and Metropolis Algorithms....Pages 117-124
Some Limit Theorems on Simulated Annealing....Pages 125-131
Statistical analysis of Markov random fields using large deviation estimates....Pages 132-141
Metropolis Methods, Gaussian Proposals and Antithetic Variables....Pages 142-164
The Chi-Square Coding Test for Nested Markov Random Field Hypotheses....Pages 165-176
Asymptotic Comparison of Estimators in the Ising Model....Pages 177-198
A Remark on the Ergodicity of Systematic Sweep in Stochastic Relaxation....Pages 199-202
Application of Bayesian Methods to Segmentation in Medical Images....Pages 203-218
Some Suggestions for Transmission Tomography Based on the EM Algorithm....Pages 219-232
Deconvolution in Optical Astronomy. A Bayesian Approach....Pages 233-239
Parameter Estimation For Imperfectly Observed Gibbs Fields and Some Comments on Chalmond’s EM Gibbsian Algorithm....Pages 240-258
Back Matter....Pages 259-259
