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- Title
Image structure-based saliency detection.
- Authors
Hong, Jing; Chen, Yufei; Liu, Xianhui; Zhao, Weidong; Jia, Ning; Zhou, Qiangqiang
- 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.
- Subjects
IMAGE processing; PIXELS; VIDEO compression; ALGORITHMS; SEMANTICS
- Publication
Journal of Electronic Imaging, 2017, Vol 26, Issue 4, p1
- ISSN
1017-9909
- Publication type
Article
- DOI
10.1117/1.JEI.26.4.043019