重庆文理学院学报（社会科学版）Issue(2)：99-104,6.
一种结合邻域信息的 FCM 图像分割新算法
An new fuzzy C - means algorithm incorporating the spatial information for image segmentation
摘要
Abstract
In this paper,we present a new Fuzzy C - means(nSFCMp )algorithm incorporating the spatial in-formation for image segmentation,which proposes a new spatial function,and incorporates spatial informa-tion into the membership function. In addition,the value of up and down cut - off is applied to half fuzz membership matrix that enhances the convergence speed of algorithm. What’s more,modifying the member-ship’s hard partition matrix is effective to improve the quality of segmentation. Experimental result shows that the new algorithm is more robust to noise and efficient in image segmentation.关键词
图像分割/模糊 C - 均值算法/空间邻域信息/鲁棒性Key words
image segmentation/fuzzy C - means algorithm/spatial information/robust分类
信息技术与安全科学引用本文复制引用
曾凡玉,朱小娟,郑金志,龙颖..一种结合邻域信息的 FCM 图像分割新算法[J].重庆文理学院学报（社会科学版）,2015,(2):99-104,6.基金项目
重庆市自然科学基金资助项目 （）
