关键词: 彩色图像分割, 均值漂移算法, 自适应, 区域合并

Abstract: In the process of region merging, manually setting the weight coefficient of the color similarity and the boundary distance of adjacent regions affects the accuracy and automation of segmentation method. For this issue, a novel segmentation algorithm based on multi-level region merging is proposed, which can set the weight coefficient according to the boundary feature of adjacent regions. And so the color similarity and the border distance are used adaptively. An image is over segmented by mean shift algorithm. The initial regions are merged to form the segmentation result by a new region merging strategy. Experimental results on color images verify that the method outperforms the referenced ones.

Key words: color image segmentation, mean shift algorithm, adaptive, region merging