AN EVALUATION OF STOCHASTIC-MODELS FOR ANALYSIS AND SYNTHESIS OF GRAY-SCALE TEXTURE

被引：13

作者：

IVERSEN, H ^{[1
]}

LONNESTAD, T ^{[1
]}

机构：

[1] UNIV OSLO,DEPT INFORMAT,IMAGE PROC LAB,POB 1080 BLINDERN,N-0316 OSLO,NORWAY

来源：

PATTERN RECOGNITION LETTERS | 1994年 / 15卷 / 06期

关键词：

GRAY-SCALE TEXTURE; COMPRESSION; STOCHASTIC MODELS; ANALYSIS; SYNTHESIS; EVALUATION;

D O I：

10.1016/0167-8655(94)90018-3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Five classes of stochastic models for analysis and synthesis of gray-scale texture are evaluated; Markov models, autocorrelation and histogram models, linear autoregressive models, fractal models and spectral models. The autoregressive models seem to reproduce the largest number of textures with the highest compression rates.

引用

页码：575 / 585

页数：11

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