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论文类型：期刊论文

发表时间：2014-09-01

发表刊物：Journal of Information and Computational Science

收录刊物：EI、Scopus

卷号：11

期号：13

页面范围：4467-4476

ISSN号：15487741

摘要：Recent years saliency detection plays an important role in computer vision. In the paper, we present a bottom-up salient object detection method. First, we compute two complementary coarse saliency maps based on the dense and sparse reconstruction errors considering the boundary priors. Then we rank the coarse maps and integrate the ranking values in a multiplication way. Finally, we compute an exact saliency map which is robust to the images with cluttered background. Extensive experiments on two public available databases demonstrate the superiority of the proposed method compared to 12 state-the-of-art approaches. Copyright ? 2014 Binary Information Press.