Color image segmentation using color space analysis and fuzzy clustering

被引：0

作者：

Zhong, DX ^{[1
]}

Yan, H ^{[1
]}

机构：

[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia

来源：

NEURAL NETWORKS FOR SIGNAL PROCESSING X, VOLS 1 AND 2, PROCEEDINGS | 2000年

关键词：

3-D color space analysis; 3-D pyramiding; 3-D low pass filtering; 3-D object labeling; validity measure of fuzzy c-means algorithm;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new method using color space analysis to obtain a proper number of colors and a good initial estimate of center positions. Then fuzzy c-means algorithm is used to optimally cluster the color space data points projected from an input image. Hence optimal color segmentation can be achieved.

引用

页码：624 / 633

页数：10

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