Image Segmentation Algorithm Based on Improved Weighted Fuzzy C-means Clustering

This paper introduces an image segmentation algorithm of weighted with neighborhood gray difference fuzzy c-means clustering (WFCM) and experiments with the samples on two-dimensional histogram between the original image and its median filter image. Experimental results demonstrate that this scheme can not only effectively segment the low contrast object, but also reduce the noise from the background.