关键词: 边界, 自适应, 区域合并, 显著性检测

Abstract: In order to efficiently extract the salient region of images, a novel saliency detection algorithm based on boundary and adaptive region merging is proposed. Firstly, the input image is over-segmented by using a superpixel segmentation algorithm and a graph is constructed by taking a superpixel as a vertex. Then through locating and eliminating error bounds, there is little noise in the background, and errors are reduced when objects touch the boundary of images. Finally, single channel index color histogram is used to measure the regional similarity and saliency map is obtained by region merging. Experimental result shows that this algorithm has higher precision than other algorithms and shows the effectiveness.

Key words: boundary, adaptive, region merging, saliency detection