SOM and fuzzy based color image segmentation

被引：16
|
作者：
Khan, Ahmad [1 ]
Jaffar, M. Arfan [1 ,2 ]
Choi, Tae-Sun [2 ]
机构：
[1] Natl Univ Comp & Emerging Sci, NU FAST, Islamabad, Pakistan
[2] Gwangju Inst Sci & Technol, Dept Mechatron, Kwangju, South Korea
来源：
MULTIMEDIA TOOLS AND APPLICATIONS | 2013年 / 64卷 / 02期
关键词：
Self Organizing Map (SOM); Segmentation; FCM; Cluster center;
D O I：
10.1007/s11042-012-1003-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Spatial information enhances the quality of clustering which is not utilized in the conventional FCM. Normally fuzzy c-mean (FCM) algorithm is not used for color image segmentation and also it is not robust against noise. In this paper, we presented a modified version of fuzzy c-means (FCM) algorithm that incorporates spatial information into the membership function for clustering of color images A progressive technique based on SOM is used to automatically find the number of optimal clusters. The results show that our technique outperforms state-of-the art methods.
引用
收藏
页码：331 / 344
页数：14
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