期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：3
页码：355-357
出版社：International Journal of Soft Computing & Engineering
摘要：Image segmentation is a very important part of image processing. This paper presents an image segmentation approach using improved fuzzy c-mean (FCM) algorithm. The improved fuzzy c-mean algorithm is formulated by modifying the distance measurement of the original fuzzy c-mean algorithm. The Euclidean distance in the fuzzy c-mean algorithm is replaced by the jaccard index and correlation distance, and thus the corresponding algorithm is derived and called as the improved fuzzy c-mean algorithm which is never earlier reported and that is shown to be more robust than original fuzzy c-mean algorithm. Experimental results are conducted on MR-images show that the proposed algorithms have better performance when noise and other artifacts are present than the original algorithms
关键词：Improved fuzzy c-mean algorithm; jaccard;index; Medical image processing; image segmentation
