Color image segmentation using a self-organizing map algorithm

被引：18

作者：

Huang, HY ^{[1
]}

Chen, YS

Hsu, WH

机构：

[1] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 300, Taiwan

[2] Yuan Ze Univ, Dept Elect Engn, Chungli 320, Taiwan

[3] Acad Sinica, Inst Informat Sci, Taipei 115, Taiwan

来源：

JOURNAL OF ELECTRONIC IMAGING | 2002年 / 11卷 / 02期

关键词：

D O I：

10.1117/1.1455007

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 color image segmentation methodology based on a self-organizing map (SOM) is proposed. The method developed takes into account the color similarity and spatial relationship of objects within an image. According to the features of color similarity, an image is first segmented into coarse cluster regions. The resulting regions are then treated by computing the spatial distance between any two cluster regions, and the SOM with a labeling process is applied. In this paper, the selection of the parameters for the SOM algorithm was also investigated experimentally. The experimental results show that the proposed system is feasible, and that the segmented object regions are similar to those perceived by human vision. (C) 2002 SPIE and IST.

引用

页码：136 / 148

页数：13

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