关键词: Mean Shift, 权重, 自适应带宽, 灰色关联分析, 颜色粗糙度

Abstract: The selection of bandwidths and weights on sampling points plays an important role in Mean Shift based image smoothing. To effectively keep the information on the edges and details of color images, a new smoothing algorithm based on adaptive Mean Shift is proposed. Firstly, an adaptive spatial bandwidth is decided in terms of gray relational degree of color information; then, an adaptive range bandwidth is calculated based on color coarseness；Additionally, the weight of sampling points is computed in the light of color difference; Finally, the filtered value of current point is gotten by the above adaptive Mean Shift algorithm. Experimental results show that the proposed method is superior to some Mean Shift filtering and several widely-used filters in both visual effect and the ability of retaining useful information.

Key words: Mean Shift, weight, adaptive bandwidth, gray relational analysis, color coarseness