关键词: 彩色图像分割, 自适应均值漂移, fisher距离, 区域合并

Abstract: Color image segmentation is a critical step from color image processing to analysis.In HSV feature space，a color image segmentation algorithm using fused information of color and space features is proposed by combining mean-shift and region merging.First，this paper uses an ameliorated mean shift method to gain local minimums，namely the cluster centers，with the bandwidths and weights acquired on the basis of a better self-adaptive principle according to global information，thereby making the algorithm more applicable；then，the over-segmentation of texture and uneven illumination caused is settled by region merging based on fisher distance.Region merging is ended according to divergence principle.The results demonstrate that the method is effective and optimistic.

Key words: color image segmentation, self-adaptive mean shift, fisher distance, region merging