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所属单位：自动化学院

发表刊物：Lect. Notes Comput. Sci.

摘要：In this paper, a novel saliency detection algorithm is proposed to fuse both the background and foreground information while detecting salient objects in complex scenes. Firstly, we extract background seeds as well as their spatial information from image borders to construct a background-based saliency map. Then, an optimal contour closure is selected as the foreground region according to the first-stage saliency map. The optimal contour closure can provide a preferable description for salient object. We compute a foreground-based saliency map using the selected foreground region and integrate it with the background-based one. Finally, the unified saliency map is further refined to obtain a more accurate result. Experimental results show that the proposed algorithm can achieve favorable performance compared to the state-of-the-art ones. © 2017, Springer International Publishing AG.

ISSN号：0302-9743

是否译文：否

发表时间：2017-01-01

合写作者：Wang, Zhengbing,程月华,王正盛

通讯作者：Wang, Zhengbing,徐贵力