Unsupervised texture segmentation based on immune genetic algorithms and fuzzy clustering

被引：0

作者：

Li, Ma ^{[1
]}

Staunton, R. C. ^{[2
]}

机构：

[1] Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China

[2] Univ Warwick, Sch Engn, Warwick, England

来源：

2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4 | 2006年

关键词：

D O I：

暂无

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：

We consider a new, adaptive approach to unsupervised textured region segmentation. There are three phases within each iteration Of the process:- (1) Gabor filter based feature extraction; (2) Fuzzy clustering of texture homogeneity to yield a spatial segmentation; and (3) An optimization procedure to update the filter parameters. The selection objective used for filter optimization was calculated using the Marmin principle on the output from the Fisher Function. This enabled the energy distributions of the distinctly textured sub images to be well separated. Experimental results demonstrated the effectiveness of the proposed approach.

引用

页码：957 / +

页数：2

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