Saliency Density and Edge Response Based Salient Object Detection
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概要
- 論文の詳細を見る
We propose a novel threshold-free salient object detection approach which integrates both saliency density and edge response. The salient object with a well-defined boundary can be automatically detected by our approach. Saliency density and edge response maximization is used as the quality function to direct the salient object discovery. The global optimal window containing a salient object is efficiently located through the proposed saliency density and edge response based branch-and-bound search. To extract the salient object with a well-defined boundary, the GrabCut method is applied, initialized by the located window. Experimental results show that our approach outperforms the methods only using saliency or edge response and achieves a comparable performance with the best state-of-the-art method, while being without any threshold or multiple iterations of GrabCut.
- The Institute of Electronics, Information and Communication Engineersの論文
著者
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Niu Xiamu
Department Of Computer Science And Technology Harbin Institute Of Technology
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He Xin
Department Of Computer Science And Technology Harbin Institute Of Technology
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Jing Huiyun
Department Of Computer Science And Technology Harbin Institute Of Technology
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Han Qi
Department Of Computer Science And Technology Harbin Institute Of Technology
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