Fusion of rough set theoretic approximations and FCM for color image segmentation.

被引：0
|
作者：
Mohabey, A [1 ]
Ray, AK [1 ]
机构：
[1] Indian Inst Technol, Dept Elect & Elect Commun Engn, Kharagpur 721302, W Bengal, India
来源：
SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5 | 2000年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new technique applying the fusion of Rough Set Theoretic Approximations and Fuzzy C-means algorithm for color image segmentation has been presented. The aim of the technique is to segment natural images with regions having gradual variations in color value. The technique extracts color information regarding the number of segments and the segments center values from the image itself through Rough Set Theoretic approximations and presents it as input to FCM block for the soft evaluation of the segments. The performance of the algorithm has been evaluated on various natural and simulated images.
引用
收藏
页码：1529 / 1534
页数：6
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