Automated estimation of the parameters of Gibbs priors to be used in binary tomography

被引：11

作者：

Liao, HY ^{[1
]}

Herman, GT ^{[1
]}

机构：

[1] CUNY, Grad Ctr, Dept Comp Sci, New York, NY 10016 USA

来源：

DISCRETE APPLIED MATHEMATICS | 2004年 / 139卷 / 1-3期

关键词：

Gibbs distribution; parameter estimation; discrete tomography; Markov random field;

D O I：

10.1016/j.dam.2003.01.001

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

lmage modeling using Gibbs priors was previously shown, based on experiments, to be effective in image reconstruction problems. This motivated us to evaluate three methods for estimating the priors. Two of them accurately recover the parameters of the priors; however, all of them are useful for binary tomography. This is demonstrated by two sets of experiments: in one the images are from a Gibbs distribution and in the other they are typical cardiac phantom images. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：149 / 170

页数：22

共 13 条

[1] Binary vectors partially determined by linear equation systems [J].