A hybrid method of seeded region growing and region hue-area information fusion for object segmentation under patterned background

We propose a hybrid method of seeded region growing and region hue-area information fusion for object segmentation under patterned background. At first, image is segmented into many small regions according to hue homogeneity by seeded region growing algorithm, then background texture mode is discovered by the regions´ hue-area information fusion, finally, the background texture is removed according to the discovered background mode and seeded region growing, the residual region is the object segmentation result. Experimental results show that the method can be used in object segmentation under patterned background.