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

页码：331 / 344

页数：14

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