Aimed at the problem that the mean shift algorithm sometimes can not compute large volumes of image data,or the data-computing speed may be very slow,by analyzing the principle of the mean-shift image segmentation,this paper presents an image-segmentation idea by processing the data in parallel computing environment,i.e.Data Partition Method with Buffer(DPMB),then we can compute different parts of data separately.By this method,we can avoid the limit of data amounts and memory errors problem of computer,which improves the efficiency of data segmentation.