吉林大学学报（理学版）Issue(3)：565-567,3.DOI:10.13413/j.cnki.jdxblxb.2014.03.30
基于空间模糊聚类的图像分割优化算法
Spatial Fuzzy Clustering Optimization Algorithm for Image Segmentation
摘要
Abstract
For the poor anti-noise performance limitations of the traditional fuzzy C-means (FCM) algorithm,we proposed a new spatial fuzzy clustering optimization algorithm for image segmentation. We added a wealth of spatial information between pixels in the image feature items,so that the traditional FCM sensitive to noise was solved,and the robustness of the algorithm was enhanced. Experimental results show that our algorithm can achieve the effective segmentation of the 5%Gaussian noise images,and the results are significantly better than those by traditional FCM image segmentation algorithm.关键词
图像分割/模糊聚类/FCM算法/空间位置信息Key words
image segmentation/fuzzy clustering/FCM algorithm/spatial information分类
信息技术与安全科学引用本文复制引用
李岩波,韩啸..基于空间模糊聚类的图像分割优化算法[J].吉林大学学报（理学版）,2014,(3):565-567,3.基金项目
吉林省自然科学基金(批准号:20130101179JC-02 （）
201215165)和符号计算与知识工程教育部重点实验室开放课题项目(批准号:93K172013Z01) （批准号:93K172013Z01）
