Saliency Level Set Evolution

نویسندگان

  • Jincheng Mei
  • Bao-Liang Lu
چکیده

In this paper, we consider saliency detection problems from a unique perspective. We provide an implicit representation for the saliency map using level set evolution (LSE), and then combine LSE approach with energy functional minimization (EFM). Instead of introducing sophisticated segmentation procedures, we propose a flexible and lightweight LSE-EFM framework for saliency detection. The experimental results demonstrate our method outperforms several existing popular approaches. We then evaluate several computation strategies independently. The comparisons results indicate their effectiveness and strong abilities in combatting saliency confusions.

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تاریخ انتشار 2014