收稿日期: 2015-07-14
修回日期: 2015-11-05
网络出版日期: 2016-07-30
基金资助
湖南省教育厅资助科研项目基金(No.13C143)；湖南第一师范学院科研项目基金(No.XYS12N03)；湖南省自然科学基金(No.2015JJ2037)；湖南省教育厅一般项目基金(No.13C157)；湖南省教育厅科学研究项目基金(No.15C0282)资助
Saliency Detection via Combining BackgroundPriors and Object Priors
Received date: 2015-07-14
Revised date: 2015-11-05
Online published: 2016-07-30
岳珂娟, 郑明才, 肖建华, 伍炯星 . 结合背景先验和对象先验的显著性检测[J]. 应用科学学报, 2016 , 34(4) : 451 -460 . DOI: 10.3969/j.issn.0255-8297.2016.04.010
This paper proposes a saliency detection method in which both background prior-based characteristics and object prior-based characteristics are taken into consideration. First, two geodesic saliency maps are generated based on the average color contrast and the EMD distance between two regions represented by the bag of words （BoW）features. A region-level objectiveness map is then generated to measure probability of a region being salient. Finally, a Bayesian classifier is trained to integrate the three saliency maps. The experimental results on ASD and MSRA5000 show that the proposed method outperforms 15 alternative methods.
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