A RELAXATION METHOD FOR IMAGE SEGMENTATION USING A SPATIALLY DEPENDENT STOCHASTIC-MODEL

被引：8

作者：

KARSSEMEIJER, N ^{[1
]}

机构：

[1] CATHOLIC UNIV NIJMEGEN,MED PHYS & BIOPHYS LAB,NIJMEGEN,NETHERLANDS

来源：

PATTERN RECOGNITION LETTERS | 1990年 / 11卷 / 01期

关键词：

Image segmentation; Markov random fields; relaxation;

D O I：

10.1016/0167-8655(90)90051-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The use of a spatially dependent external field is introduced as an extension of more regular Markov random fields models with interaction terms only. This external field is used to model prior knowledge about the global image structure. An application to recognition of the spleen from three-dimensional X-ray CT scences is described. © 1990.

引用

页码：13 / 23

页数：11

共 8 条

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DERIN, H
WON, CS
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GEMAN, D
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1984, 6 (06) : 721 - 741
[6] Herman G.T., 1980, IMAGE RECONSTRUCTION
[7] RECOGNITION OF ORGANS IN CT-IMAGE SEQUENCES - A MODEL GUIDED APPROACH
KARSSEMEIJER, N
VANERNING, LJTO
EIJKMAN, EGJ
[J]. COMPUTERS AND BIOMEDICAL RESEARCH, 1988, 21 (05): : 434 - 448
[8] STATISTICS, IMAGES, AND PATTERN-RECOGNITION
RIPLEY, BD
[J]. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 1986, 14 (02): : 83 - 102

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