OPT OpenIR  > 动态光学成像研究室
Visual Saliency Detection Based on Region Contrast and Guided Filter
Liu, Liqiang1,2; Cao, Jianzhong1; Niu, Yuefeng1; Guo, Huinan1; Liu, LQ (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China.
2017
Conference Name2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA)
Source Publication2017 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (ICCIA)
Pages327-330
Conference Date2017-09-08
Conference PlaceN China Univ Technol, Beijing, PEOPLES R CHINA
Publication PlaceNEW YORK
PublisherIEEE
Contribution Rank1
Abstract

The main challenge of previous saliency detection method is the low quality of obtained saliency map which missed the edge and texture information easily. So it cannot reflect the integrated image salient information. Considering this problem, we propose a novel saliency measure method which combine region contrast and fast guided filter. This method utilizes region contrast method to obtain initial saliency maps. Then we optimize the saliency maps by using the fast guided filter. Extensive experimental results on natural image show the effectiveness of the proposed method. One aspect, the obtained final saliency maps have obvious advantages in dealing with the texture and weakening the inconsequential region. Another aspect, evaluation on the two databases validates that our method achieves superior results and outperforms compared previous approach in both precision and recall.

KeywordSaliency Guided Filter Region Contrast Edge And Texture
Subject AreaComputer Science, Artificial Intelligence
Department动态光学成像研究室
Indexed ByEI ; ISTP
ISBN978-1-5386-2030-4
Language英语
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/29962
Collection动态光学成像研究室
Corresponding AuthorLiu, LQ (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China.
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Liu, Liqiang,Cao, Jianzhong,Niu, Yuefeng,et al. Visual Saliency Detection Based on Region Contrast and Guided Filter[C]. NEW YORK:IEEE,2017:327-330.
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