Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image
Joint Authors
Zhou, Qiangqiang
Zhao, Weidong
Zhang, Lin
Wang, Zhicheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-19
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Saliency detection is an important preprocessing step in many application fields such as computer vision, robotics, and graphics to reduce computational cost by focusing on significant positions and neglecting the nonsignificant in the scene.
Different from most previous methods which mainly utilize the contrast of low-level features, various feature maps are fused in a simple linear weighting form.
In this paper, we propose a novel salient object detection algorithm which takes both background and foreground cues into consideration and integrate a bottom-up coarse salient regions extraction and a top-down background measure via boundary labels propagation into a unified optimization framework to acquire a refined saliency detection result.
Wherein the coarse saliency map is also fused by three components, the first is local contrast map which is in more accordance with the psychological law, the second is global frequency prior map, and the third is global color distribution map.
During the formation of background map, first we construct an affinity matrix and select some nodes which lie on border as labels to represent the background and then carry out a propagation to generate the regional background map.
The evaluation of the proposed model has been implemented on four datasets.
As demonstrated in the experiments, our proposed method outperforms most existing saliency detection models with a robust performance.
American Psychological Association (APA)
Zhou, Qiangqiang& Zhao, Weidong& Zhang, Lin& Wang, Zhicheng. 2016. Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111843
Modern Language Association (MLA)
Zhou, Qiangqiang…[et al.]. Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image. Mathematical Problems in Engineering No. 2016 (2016), pp.1-18.
https://search.emarefa.net/detail/BIM-1111843
American Medical Association (AMA)
Zhou, Qiangqiang& Zhao, Weidong& Zhang, Lin& Wang, Zhicheng. Salient Region Detection by Fusing Foreground and Background Cues Extracted from Single Image. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-18.
https://search.emarefa.net/detail/BIM-1111843
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111843