Digital Human Brain Image Segmentation Based on an Adapted Mean Shift Method

In order to overcome the limitation of the Mean Shift method, this paper presents a new anisotropic Gauss kernel, based on structure information, and by the Gauss kernel newly proposed, the new model can reduce the effect of gracile topological structure.In addition, we project the color space to a new space, based on PCA model, to expand the distance of similar color and enlarge the difference between grey matters and grey matters belonging to next picture.The results of the segmentation of the digital brain image show that better results could be achieved by the adapted Mean Shift method.