现代电子技术2016，Vol.39Issue(18)：91-95,5.DOI:10.16652/j.issn.1004-373x.2016.18.023
基于模糊水平集的脑肿瘤MR图像分割方法
Brain tumor MR image segmentation method based on fuzzy level set
摘要
Abstract
Since the traditional level set method used to segment the brain tumor MR image is liable to generate the leakage at weak edges,a new brain tumor MR image segmentation method based on fuzzy level set is proposed,in which the fuzzy clus⁃tering algorithm is used to pre⁃segment the image to get the interest area of brain tumor MR image,the result of clustering seg⁃mentation is taken as the initial contour of level set evolution,and then the clustering result is used to calculate the initial condi⁃tions and control parameters of the level set evolution. This method can improve the algorithm execution efficiency;overcome the defects that the level set evolution relies on initial conditions,control parameters and more manual intervention;and im⁃prove the robustness. The experimental results show this method has high robustness,can segment the brain tumor in MR image quickly and accurately,and has important clinical significance.关键词
脑肿瘤/MR/模糊聚类/水平集/图像分割Key words
brain tumor/MR/fuzzy clustering/level set/image segmentation分类
信息技术与安全科学引用本文复制引用
张腾达,吕晓琪,任晓颖,谷宇,张明..基于模糊水平集的脑肿瘤MR图像分割方法[J].现代电子技术,2016,39(18):91-95,5.基金项目
国家自然科学基金项目（61179019）；内蒙古自然科学基金面上项目（2013MS0908）；内蒙古自治区高等学校科学研究项目 （）
