塔型模糊C-均值聚类图像分割方法

Image Segmentation Using the Method of Pyramidal Fuzzy C-mean Cluster

分割较复杂的二维灰度图像时 ,采用塔型模糊C -均值聚类 (PFCM)方法 ,由于该方法充分利用了图像的灰度信息和空间信息特征向量 ,因此比仅只利用图像的灰度信息来进行图像分割的图像信息熵分析法效果要好 .而且 ,在稳定性、收敛速度方面 ,该方法优于非塔型模糊聚类算法 .

When segmenting complex gray level image,the algorithm of Pyramidal Fuzzy C-Mean (PFCM) cluster is better than the method of FCM.The former uses not only the gray level information,but also the spatial information.The later only uses gray level information.PFCM is robuster and faster in convergence than FCM.The results processed with PFCM are satisfactory.