计算机工程2012，Vol.38Issue(14)：193-195,3.DOI:10.3969/j.issn.1000-3428.2012.14.058
改进FCM在医学图像分割中的应用
Application of Improved FCM in Medical Image Segmentation
摘要
Abstract
The traditional Fuzzy C-Means(FCM) ignores considering the neighborhood information, so it has low efficiency and poor global convergence. In order to solve these problems, this paper uses the window including space and gray information and by improving Histion and constructing roughness, roughness-based FCM for medical image segmentation is proposed in this paper. Experimental results verify the corresponding advantages of the proposed algorithm. Compared with traditional FCM, the proposed method can retrieve global difference in the image, together with high efficiency.关键词
模糊C均值/粗糙度/医学图像分割/离散化/聚类Key words
Fuzzy C-Means(FCM)/ roughness/ medical image segmentation/ discretization/ clustering分类
信息技术与安全科学引用本文复制引用
张保威,钱慎一,宋宝卫..改进FCM在医学图像分割中的应用[J].计算机工程,2012,38(14):193-195,3.基金项目
河南省教育厅自然科学研究计划基金资助项目(2011A520047) （2011A520047）
河南省教育厅科学技术研究基金资助重点项目(12B520070) （12B520070）
