Application of Improved FCM in Medical Image Segmentation

The traditional Fuzzy C-Means(FCM) ignores considering the neighborhood information,so it has low efficiency and poor global convergence.In order to solve these problems,this paper uses the window including space and gray information and by improving Histion and constructing roughness,roughness-based FCM for medical image segmentation is proposed in this paper.Experimental results verify the corresponding advantages of the proposed algorithm.Compared with traditional FCM,the proposed method can retrieve global difference in the image,together with high efficiency.