关键词: 彩色图像分割, 均值偏移算法, k均值聚类, 区域合并, 边缘平滑

Abstract: A new algorithm of color image segmentation using clustering and hierarchical region merge is proposed.First of all，the mean shift algorithm is introduced to smooth the images while preserving the boundaries.The processed images are clustered by using the improved k-means clustering algorithm in the feature space，and then the initial regions are formed.Afterwards，the initial regions are hierarchically merged on the basis of the region distance defined by the color，space and adjacency information until the criteria of the merging termination is satisfied.The erosion and dilation operators are used to smooth the edges of segmented regions.Accoding to the simulation results，the color image segmentation results of the proposed approach are favorably consistent with the subjective visual perception of the human beings.

Key words: color image segmentation, mean shift algorithm, k-means clustering, region merge, edge smoothing