关键词: 图像分割, 均值漂移, 重要性图, 区域合并

Abstract: Due to the problems of excessive segmented regions in the result of existing algorithms, it constructs the importance map based on the crossed field of edges, and constrains the segmented regions by the stability of feature of the edges to improve the quality of segmentation effectively. It constructs the crossed field of edges by using Gauss integral to enhance the continuity and the stability of the line of edges, then transforms the distance by the feature of the edges to obtain the importance map and segments the image by mean-shift, merges the results of segmented regions according to the strength of importance of the adjacent regional border. Experimental results show that compared with the old ways of segmentation, this algorithm can be used to have an effective merging on detail regions as keeping the important regions of source image, and improve the quality of segmentation obviously.

Key words: image segmentation, mean-shift, importance map, regional merging