A fuzzy rule-based colour image segmentation algorithm

被引：0
|
作者：
Dooley, LS [1 ]
Karmakar, GC [1 ]
Murshed, M [1 ]
机构：
[1] Monash Univ, Gippsland Sch Comp & Informat Technol, Churchill, Vic 3842, Australia
来源：
2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
Most fuzzy rule-based image segmentation techniques to date have been primarily developed for gray level images. In this paper, a new algorithm called fuzzy rule-based colour image segmentation (FRCIS) is proposed by extending tire generic fuzzy rule-based image segmentation (GFRIS) algorithm [2] and integrating a novel algorithm for averaging hue angles. Qualitative and quantitative analysis of the performance of FRCIS is examined and contrasted with the popular fuzzy c-means (FCM) and possibilistic c-means (PCM) algorithms for both the Hue-Saturation-Value (HSV) and RGB colour models. Overall, FRCIS provides considerable improvement for many different image types.
引用
收藏
页码：977 / 980
页数：4
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