摘要
改进的模糊C均值聚类算法在对多元图像进行分割的过程中,通过给图像中各个类的对象分配不同的权值来提高模糊C均值聚类算法对不同大小类的敏感性。实验证明,经过改进的模糊C均值聚类算法克服了原始算法对多元图像中类大小敏感性差的问题。
The improved Fuzzy C -means clustering algorithm assigns different conditional values to object of different cluster to overcome the sensitivity of fuzzy C - means clustering for unequal cluster sizes in multivariate images. From experiment it is easy to find that the improving of Fuzzy C - means clustering algorithm overcomes the sensitivity of original algorithm for unequal cluster sizes in multivariate images.
出处
《微处理机》
2008年第5期135-136,140,共3页
Microprocessors
基金
863计划项目(2003AA41250)
辽宁省教委A类基金(20243303)
关键词
模糊C均值法
多元图像分割
聚类
Fuzzy C - means
Multivariate image segmentation
Clustering
