Isophote Based Center-Surround Contrast Computation for Image Saliency Detection

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概要

• 論文の詳細を見る

• In this paper, we introduce a biologically-motivated model to detect image saliency. The model employs an isophote based operator to detect potential structure and global saliency information related to each pixel, which are then combined with integral image to build up final saliency maps. We show that the proposed model outperforms seven state-of-the-art saliency detectors in experimental studies.

著者

• CHEN Ling

  College of Computer Science, Zhejiang University

• CHUANG Yuelong

  College of Computer Science, Zhejiang University

• CHEN Gencai

  College of Computer Science, Zhejiang University

• WOODWARD John

  Computing Science and Mathematics, School of Natural Sciences, University of Stirling

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• Isophote Based Center-Surround Contrast Computation for Image Saliency Detection

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