In view of the defects of fuzzy C-mean clustering(FCM) image segmentation,an FCM image fusion segmentation algorithm based on the Dempster-Shafer(D-S) theory is presented.

• 对图像的点灰度特征和块灰度特征分别进行模糊C均值聚类,并将各自的模糊隶属度转化为单一或复合假设及其基本概率赋值,再利用D-S证据理论进行融合分割。