MULTIDIMENSIONAL MARKOV-CHAIN MODELS FOR IMAGE-TEXTURES

被引：1

作者：

QIAN, W ^{[1
]}

TITTERINGTON, DM ^{[1
]}

机构：

[1] UNIV GLASGOW,DEPT STAT,UNIV GARDENS,GLASGOW G12 8QQ,SCOTLAND

来源：

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL | 1991年 / 53卷 / 03期

关键词：

GIBBS CHAINS; HIDDEN MARKOV MODELS; IMAGE RESTORATION; MARKOV RANDOM FIELD; MULTIDIMENSIONAL MARKOV CHAINS; PARAMETER ESTIMATION; TEXTURE MODELS;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Multidimensional Markov chain models are developed for texture. By suitable choice of parameters, textures can be simulated that are similar to those generated by Markov random field models, but the simulation procedure is computationally much more economical. The problem of parameter estimation is examined for non-noisy and noisy data. In the latter case, procedures are developed for simultaneous parameter estimation and image restoration. Illustrative examples are provided.

引用

页码：661 / 674

页数：14

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