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Stochastic Models, Statistical Methods, and Algorithms in Image Analysis

Proceedings of the Special Year on Image Analysis, held in Rome, Italy, 1990

  • Piero Barone
  • Arnoldo Frigessi
  • Mauro Piccioni
Conference proceedings

Part of the Lecture Notes in Statistics book series (LNS, volume 74)

Table of contents

  1. Front Matter
    Pages I-VI
    PDF
  2. Edge Preserving Image Restoration
    Mona Abdalla, Jim Kay
    Pages 1-13
  3. Boltzmann Machines : High-Order Interactions and Synchronous Learning
    Robert Azencott
    Pages 14-45
  4. Bayesian 3-D Path Search and Its Applications to Focusing Seismic Data
    R. Azencott, B. Chalmond, Ph. Julien
    Pages 46-74
  5. Edge Detection and Segmentation of Textured Plane Images
    R. Azencott, C. Graffrigne, C. Labourdette
    Pages 75-88
  6. IFS Algorithms for Wavelet Transforms, Curves and Surfaces, and Image Compression
    Marc A. Berger
    Pages 89-100
  7. Image restoration by stochastic dichotomic reconstruction of contour lines
    Olivier Catoni
    Pages 101-116
  8. A Comparison of Simulated Annealing of Gibbs Sampler and Metropolis Algorithms
    Chiang Tzuu-Shuh, Chow Yunshyong
    Pages 117-124
  9. Some Limit Theorems on Simulated Annealing
    T. S. Chiang, Y. Chow, J. Hsieh
    Pages 125-131
  10. Statistical analysis of Markov random fields using large deviation estimates
    F. Comets
    Pages 132-141
  11. Metropolis Methods, Gaussian Proposals and Antithetic Variables
    Peter J. Green, Xiao-liang Han
    Pages 142-164
  12. The Chi-Square Coding Test for Nested Markov Random Field Hypotheses
    X. Guyon, C. Hardouin
    Pages 165-176
  13. Asymptotic Comparison of Estimators in the Ising Model
    Xavier Guyon, Hans R. Künsch
    Pages 177-198
  14. A Remark on the Ergodicity of Systematic Sweep in Stochastic Relaxation
    Chii-Ruey Hwang, Shuenn-Jyi Sheu
    Pages 199-202
  15. Application of Bayesian Methods to Segmentation in Medical Images
    N. Karssemeijer
    Pages 203-218
  16. Some Suggestions for Transmission Tomography Based on the EM Algorithm
    John T. Kent, Christopher Wright
    Pages 219-232
  17. Deconvolution in Optical Astronomy. A Bayesian Approach
    R. Molina, B. D. Ripley
    Pages 233-239
  18. Parameter Estimation For Imperfectly Observed Gibbs Fields and Some Comments on Chalmond’s EM Gibbsian Algorithm
    Laurent Younes
    Pages 240-258
  19. Back Matter
    Pages 259-259
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About these proceedings

Introduction

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.

Keywords

Markov random field coding estimator expectation–maximization algorithm

Editors and affiliations

  • Piero Barone
    • 1
  • Arnoldo Frigessi
    • 1
  • Mauro Piccioni
    • 2
  1. 1.Istituto per le Applicazioni del Calcolo, C.N.R.RomeItaly
  2. 2.Dipartimento di Matematica Pura ed ApplicataUniversità di L’AquilaL’AquilaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-2920-9
  • Copyright Information Springer-Verlag New York 1992
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-97810-9
  • Online ISBN 978-1-4612-2920-9
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site