Color image segmentation using a modified Fuzzy C-Means technique and different color spaces: Application in the breast cancer cells images

摘要: In this paper, we present a new color image segmentation method, based on modified Fuzzy C-Means technique and different spaces which aim at including the informations provided by in C-means order to increase information quality get more reliable accurate result. first phase of segmentation, classification accuracy degree is employed identify most significant pieces used spaces. second phase, (FCM) algorithm cluster these into homogeneous regions. The proposed method evaluated comparative study versus existing techniques presented. experimental results medical textures images demonstrate superiority combining standard for segmentation.