Affiliation of Author(s):自动化学院

Journal:Lect. Notes Comput. Sci.

Abstract: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 No.:0302-9743

Translation or Not:no

Date of Publication:2017-01-01

Co-author:Wang, Zhengbing,Cheng Yuehua,Zhengsheng Wang

Correspondence Author:Wang, Zhengbing,Guili xu