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Journal of Electronic Imaging

Image structure-based saliency detection
Author(s): Jing Hong; Yufei Chen; Xianhui Liu; Weidong Zhao; Ning Jia; Qiangqiang Zhou
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Paper Abstract

We consider image intrinsic structure in two aspects: foreground saliency computation and background saliency calculation. On the one hand, a segmented image is represented as a weighted undirected graph, and we calculate the foreground saliency by choosing some superpixels as ranking queries, where we apply a robust background measure to select those for accuracy. On the other hand, we compute the posterior probabilities to measure the background saliency and in terms of the probability, we construct a probability tree via multimerging on superpixels, and then apply the optimization strategy to the background saliency. We evaluate our proposed algorithm on two benchmark datasets and our algorithm yields the competitive results when compared with nine state-of-the-art algorithms in terms of five evaluation metrics.

Paper Details

Date Published: 21 August 2017
PDF: 10 pages
J. Electron. Imag. 26(4) 043019 doi: 10.1117/1.JEI.26.4.043019
Published in: Journal of Electronic Imaging Volume 26, Issue 4
Show Author Affiliations
Jing Hong, Tongji Univ. (China)
Yufei Chen, Tongji Univ. (China)
Xianhui Liu, Tongji Univ. (China)
Weidong Zhao, Tongji Univ. (China)
Ning Jia, Tongji Univ. (China)
Qiangqiang Zhou, Tongji Univ. (China)


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