数字技术与应用Issue(9)：116-117,119,3.
改进FCM算法在医学图像分割的方法研究
The Research of Modified Fuzzy C-Means Clustering Algorithm On Medical Image Segmentation
摘要
Abstract
The paper proposes the Modified Fuzzy C-Means (MFCM) algorithm and fuzzy C-Means clustering (FPCM) algorithm for image segmentation and its application in medical image process. MFCM algorithm is adopted to adjust the traditional FCM algorithm to measure the distance to approval by other labels pixel image pixels and noise suppression effect in syncopation to constraint, so that the member variable no maximum constraint. The real image experiments show that the Modified FCM algorithm in medical image segmentation results, specifical y through the traditional FCM, Modified FCM, FPCM accuracy compared to verify the algorithm validity.关键词
FCM聚类算法/MFCM/FPCM/医学图像处理/图像分割Key words
Fuzzy C-Means Clustering Algorithm/Modified FCM/Fuzzy Possibilistic C-Means Clustering Algorithm/Medical Image Processing/Image Segmentation分类
信息技术与安全科学引用本文复制引用
李鹏..改进FCM算法在医学图像分割的方法研究[J].数字技术与应用,2012,(9):116-117,119,3.基金项目
湖北省教育厅优秀中青年资助项目(Q20111311) （Q20111311）
