Robust Ranking on Manifold for Salient Object Detection

Chen Wang, Yangyu Fan, Lei Xiong

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Saliency detection is to find the most important object automatically according to the human visual in the unknown scene. Most existing algorithms detect the salient object using various salient object features. In this paper, we present a novel saliency detection method by an iterated graph Laplacian based ranking on manifolds to determine whether the region is salient or not. Firstly, we segment the input image into several regions, and then compute the ranking function based on a robust graph Laplacian. Secondly, we estimate each region's saliency value using the background and foreground queries respectively. The background queries have determined using analysis of the image edge feature. The foreground queries have produced using the concept called boundary connectivity. Experimental results prove that the proposed algorithm outperforms many of the recent state-of-art and classical algo-rithms.

源语言英语
主期刊名Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
出版商Institute of Electrical and Electronics Engineers Inc.
205-210
页数6
ISBN(电子版)9781509035588
DOI
出版状态已出版 - 2 7月 2016
活动9th International Symposium on Computational Intelligence and Design, ISCID 2016 - Hangzhou, Zhejiang, 中国
期限: 10 12月 201611 12月 2016

出版系列

姓名Proceedings - 2016 9th International Symposium on Computational Intelligence and Design, ISCID 2016
1

会议

会议9th International Symposium on Computational Intelligence and Design, ISCID 2016
国家/地区中国
Hangzhou, Zhejiang
时期10/12/1611/12/16

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