Institute of Mathematical Statistics Lecture Notes - Monograph Series

Spatial statistics and imaging: Papers from the Research Conference on Image Analysis and Spatial Statistics held at Bowdoin College, Brunswick, Maine, Summer 1988

Editor: Antonio Possolo

Lecture Notes--Monograph Series, Volume 20
Hayward, CA: Institute of Mathematical Statistics, 1991.
426 pp.

Subjects:

62-06 (primary)
68U05 (secondary)
Permanent link to this monograph: http://projecteuclid.org/euclid.lnms/1215460484
Mathmatical Reviews number (MathSciNet): MR1195556
ISBN:0-940600-27-7

Copyright © 1991, Institute of Mathematical Statistics.

Miscellaneous Frontmatter

i-ii

Preamble

iii

Participants

iv-v

Introduction

António Possolo; vi-viii

Inference for hidden Markov models

Lars Smedegaard Andersen; 1-13

Logistic regression for spatial pair-potential models

Merlise Clyde, and David Strauss; 14-30

Modeling growth with random sets

Noel Cressie; 31-45

Inference about the shape of neighboring points in fields

J. L. Denny, and A. L. Wright; 46-54

On the choice of the regularization parameter: the case of binary images in the Bayesian restoration framework

J. M. Dinten, X. Guyon, and J. F. Yao; 55-77

Use of prior information in coded-aperture imaging

T. A. Gooley, H. H. Barrett, T. J. Roney, and W. E. Smith; 90-102

Spatial statistics of random networks and a problem in river basin hydrology

Vijay K. Gupta, and Ed Waymire; 103-111

Linear discriminant analysis in image restoration and the prediction of error rate

John Haslett, and Graham Horgan; 112-129

Some estimation problems for Gibbs states

Chuanshu Ji; 130-137

Moment estimation for stationary point processes in $\bold R\sp d$

Emmanuel Jolivet; 138-149

Aggregation and refinement in binary image restoration

M. Jubb, and C. Jennison; 150-162

A comparison of smoothing parameter choices in image restoration

J. W. Kay; 163-175

Iterative Bayesian contextual classification of remotely sensed data

R. Klein, and S. J. Press; 176-185

Bayesian ART versus conjugate gradient methods in tomographic seismic imaging: an application at Mount St. Helens, Washington

J. M. Lees, and R. S. Crosson; 186-208

The use of a stopping rule in iterative image reconstruction

J. Llacer, and E. Veklerov; 209-226

Solutions of underdetermined systems of linear equations

W. R. Madych; 227-238

On the equivalence of regular grammars and stochastic constraints: applications to image processing on massively parallel processors

Michael I. Miller, Badrinath Roysam, Kurt Smith, and Jan Tijmen Udding; 239-257

On the asymptotic behavior of some statistics based on morphological operations

Marc Moore, and Sylvain Archambault; 258-274

Multidimensional multivariable smoothing

Donald E. Myers; 275-285

Subsampling a random field

Antonio Possolo; 286-294

Testing association between spatial processes

S. Richardson, and P. Clifford; 295-308

The use of spatial models as image priors

B. D. Ripley; 309-340

Bayesian maximum entropy image reconstruction

John Skilling, and Stephen F. Gull; 341-367

A case study in statistical image processing: positron-emission tomography

D. L. Snyder, D. G. Politte, and M. I. Miller; 368-381

Measure of similarity between two images

C. C. Taylor; 382-391

Choosing the regularization parameter in image restoration

D. M. Titterington; 392-402

Maximum likelihood estimation for Gibbsian fields

Laurent Younes; 403-426

Institute of Mathematical Statistics Lecture Notes - Monograph Series

Institute of Mathematical Statistics Lecture Notes - Monograph Series