GENETIC-BASED FUZZY HIT-OR-MISS TEXTURE SPECTRUM FOR TEXTURE ANALYSIS

被引：5

作者：

LEE, YG

LEE, JH

HSUEH, YC

机构：

[1] Department of Computer and Information Science, National Chiao Tung University, Hsinchu

来源：

ELECTRONICS LETTERS | 1995年 / 31卷 / 23期

关键词：

GENETIC ALGORITHMS; TEXTURE (IMAGE PROCESSING);

D O I：

10.1049/el:19951398

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new method using a fuzzy hit-or-miss transform recognition procedure, which measures degrees of fit of specified patterns within an image, is proposed for texture analysis. For a given texture, three optimal texture patterns (structuring elements) dynamically generated by genetic algorithms are used to inspect the degrees of fit by using the fuzzy hit-or-miss transform, respectively. The distribution of these degrees of fit, converted into a texture spectrum, is used as the texture feature for texture analysis.

引用

页码：1986 / 1988

页数：3

共 8 条

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