Saliency Detection Based on Integration of Boundary and Soft-Segmentation
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| Authors | Jing Sun, Huchuan Lu, and Shifeng Li |
| Journal/Conference Name | International Conference on Image Processing |
| Paper Category | ECE |
| Paper Abstract | Detection of the visual salient regions is a challenging and significant problem in computer vision. In this paper, we propose a boundary based prior map and a soft-segmentation based convex hull to improve the saliency detection. First, we present to utilize the boundary information to obtain the coarse prior map. Then a convex hull improved by soft-segmentation is proposed to form the observation likelihood map. Finally, the Bayes formula is applied to combine these two maps. Experiments on a publicly available database show that our augmented framework performs favorably against the state-of-the-art algorithms. |
| Date of publication | 2012 |
| Code Programming Language | MATLAB |
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