基于遗传模糊核聚类的图像分割

Abstract
Figure/Table
References
Related Citation (1)

Download: PDF (720 KB) HTML (0 KB)
Export: BibTeX | EndNote (RIS)

Abstract Aiming at the characteristics of infrared images and the sensitivity of fuzzy clustering algorithm to the noise and the initial clustering center,a genetic kernel fuzzy C-Means clustering algorithm(G_KFCM) is presented. The gray values of the infrared images are clustered globally. Then the optimal clustering center and the membership matrix are calculated by the G_KFCM. The image segmentation is performed according to the clustering result and the maximum membership principle. The experimental results show G_KFCM is effective to the infrared images respectively including Gaussian noise,simple or complex background.

Key words： Infrared Image Genetic Kernel Fuzzy C-Means Clustering(G_KFCM) Clustering Center Membership Matrix

Received: 13 February 2012

ZTFLH:

TP391

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	JIN Lu
	FU Meng-Yin

Cite this article:

JIN Lu,FU Meng-Yin. Images Segmentation Based on Genetic_Kernel Fuzzy C-Means Clustering Algorithm[J]. , 2013, 26(2): 205-210.

URL:

http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2013/V26/I2/205

[1]Sun Yan,Li Hui,Zhang Jun. Infrared Image Segmentation Based on Improved Fuzzy Kernel Clustering. Microcomputer Information,2009,25(7): 272-273(in Chinese)
(孙延,李辉,张军.基于改进模糊核聚类的红外图像分割.微计算机信息,2009,25(7): 272-273)
[2]Dong Yunying. Research in Fuzzy Cluster Technology Based on Genetic Algorithm. Master Dissertation. Dalian,China: Dalian Maritime University,2005(in Chinese)
(董云影.基于遗传算法的模糊聚类技术的研究.硕士学位论文.大连：大连海事大学,2005)
[3]Liu Xiaolong. Research on Fuzzy Clustering Based Method of Image Segmentation. Master Dissertation. Hefei,China: Hefei University of Technology,2006(in Chinese)
(刘晓龙.基于模糊聚类图像分割方法研究.硕士学位论文.合肥：合肥工业大学,2006)
[4]Gao Yunguang,Wang Shicheng,Wang Shunbo. Automatic Clustering Based on GA FCM for Pattern Recognition // Proc of the 2nd International Symposium on Computational Intelligence and Design. Changsha,China,2009,Ⅱ: 146-149
[5]Shen Huafeng. An Improved Infrared Image Segmentation Algorithm Using Fuzzy Clustering. Infrared Technology,2008,30(12): 717-721(in Chinese)
(沈华锋.一种改进的模糊核聚类红外图像分割算法.红外技术,2008,30(12): 717-721)
[6]Sun Jiao,Ge Lindong. Fuzzy Clustering Algorithm Based on Genetic Algorithm and Its Application. Computer Application,2008,28(5): 1197-1199(in Chinese)
(宋娇,葛临东.一种遗传模糊聚类算法及其应用.计算机应用,2008,28(5): 1197-1199)
[7]Peng Hua,Xu Luping. Improved Genetic FCM Algorithm for Color Image Segmentation. Opto Electronic Engineering,2007,34(7): 126-129(in Chinese)
(彭华,许录平.用于彩色图像分割的改进遗传FCM算法.光电工程,2007,34(7): 126-129)
[8]Chen Wei,Lu Tingjin,Wu Jizheng,et al. An Improved Genetic FCM Clustering Algorithm // Proc of the 2nd International Conference on Future Computer and Communication. Wuhan,China,2010,I: 45-48
[9]Zeng Ling,Wang Meiling,Chen Huafu. Genetic Fuzzy C Means Clustering Algorithm for Magnetic Resonance Images Segmentation. Journal of University of Electronic Science and Technology of China,2008,37(4): 627-629(in Chinese)
(曾翎,王美玲,陈华富.遗传模糊C均值聚类算法应用于MRI分割.电子科技大学学报,2008,37(4): 627-629)
[10]Peng Hua,Xu Luping,Jiang Yanxia. Improved Genetic FCM Algorithm for Color Image Segmentation\[EB/OL\]. \[2012-01-01\]. http://en. cnki.com.cn/ Article. en/ CJFDTOT'AL-GDGC200707029. htm