Multi-granularity Color Image Segmentation Based on Cloud Model
MA Hong-yao · Jisuanji gongcheng · 2012
Image information contains a lot of uncertainty which may cause the unsatisfactory image segmentation effect.In order to solve this problem,this paper proposes a algorithm of color image segmentation based on granular computing and cloud model.It granulates color images in HSV color space,and cloud-granule concept is generated in multi-granularity and multi-level,finally the color image is segmented.Experimental results show that the proposed algorithm has better performance compares with PCNN and K-means algorithm.