中国海洋大学学报（自然科学版）2017，Vol.47Issue(11)：124-131,8.DOI:10.16441/j.cnki.hdxb.20160425
基于分层的FCM算法在医学图像分割中的应用
Medical Image Segmentation Based on Layered FCM
摘要
Abstract
Image segmentation is focused and difficult in the aspect of medical image processing,and the phenomena of the partial volume effect and the intensity inhomogeneity makes the segmentation more difficult.Though the method of FCM can solve the problem of partial volume effect,the computational cost is very big.A method of medical segmentation based on layered FCM has been proposed in this paper.The premise of this method is assumed that the cluster centroids are produced from the same or similar organ or tissue,rather than from others.Then the segmentation intensity inhomogeneity can be solved,moreover the run time of the proposed method is decreased dramatically.The experimental results on different medical images verify the efficiency and effectiveness of the proposed method.关键词
分层FCM/图像分割/医学图像处理Key words
Layered FCM/image segmentation/medical image processing分类
信息技术与安全科学引用本文复制引用
孙玉娟,王增锋,张小峰..基于分层的FCM算法在医学图像分割中的应用[J].中国海洋大学学报（自然科学版）,2017,47(11):124-131,8.基金项目
国家自然科学基金项目(61602229) （61602229）
山东省自然科学基金项目(ZR2016FM13 （）
ZR2016FM21)资助 Supported by NSFC Under Granted(61602229) （61602229）
NSFC of Shandong Province Under Granted(ZR2016FM13 （）
ZR2016FM21) （）
