Color image segmentation for meaningful region is the bases of objects detection and pattern recognition.By choosing proper spatial and range kernel bandwidths,Mean Shift algorithm can divide an image into several clusters and get the meaningful region by using feature extraction.Experimental results show that,Mean Shift algorithm can effectively get rid of noise interference and acquire meaningful region.Comparing with the classical Kmeans algorithm,Mean Shift algorithm has a better segmentation results,also,the segmentation speed is greatly improved.