【摘要】 模糊Ｃ－均值（ＦＣＭ）算法用于图象分割，是一种非监督模糊聚类后标定的过程．但是，ＦＣＭ算法存在着一些不足，进而限制了它在某些方面的应用．本文提出了一种基于模糊聚类的图象分割方法，较好解决了ＦＣＭ算法所遇到的问题．且本文从数学上和实验上证明了这种方法的有效性更多还原

【Abstract】 Fuzzy C means (FCM) clustering can be used for image segmentation,which is a procedure of the label following a unsupervised fuzzy clustering.However,there are some deficiencies in the FCM algorithm,which limit its application in some aspects.A fuzzy clustering based approach to image segmentation is proposed in this paper,which conquers the deficiencies encountered in FCM.The feasibility of the approach is proved mathematically and experimentally.更多还原