期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
期号：MULTICON
页码：581
出版社：S&S Publications
摘要：Fuzzy C- Means (FCM) clustering is a potential method, mainly for data clustering and imagesegmentation. But the major limitation of Fuzzy C Means and its derived methods is that, the number of clusters iseither randomly initialized or prior knowledge of the image is needed. Though there are numerous works done in thiscontext, most of them are distance based leading to increase in the computational time and complexity. A fullyautomated algorithm developed for determining the number of clusters based on Gray code is presented in this paper.Experimental are done on brain Magnetic Resonance Images and results are produced. Performance evaluation basedon segmentation accuracy and computational time is done and compared with other methods.
关键词：Fuzzy C-Means; FCM based splitting algorithm; Gray Code
