Research of Image Segmentation Algorithm Based on Clustering

Abstract

Through the study of existing image segmentation algorithms, this paper improves the standard FCM-based image segmentation algorithm.And according to the principles of effective treatment on neighborhood image noise by mean filtering and median filtering, proposes a new similarity distance calculation method, which gives full consideration to the gray information and neighborhood information of pixels.Experimental results show that this improved algorithm has higher segmentation efficiency, while having a high segmentation accuracy and strong noise immunity.