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
收藏
页码：624 / 633
页数：10
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