Noisy Image Segmentation Algorithm by Clustering Based on Rectifying Variables
Shitong Wang · Jisuanji gongcheng · 2009
Traditional image segmentation algorithms by clustering usually cause bad result in images contain noises.Aiming at these images, this paper proposes a method which adds rectifying variables in the equations of distance and membership function in traditional clustering algorithm in order to reduce the influence of noises.Experimental result proves it is good for some noisy images.