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Saliency detection based on adaptive boundary
文献类型:会议
作者:Wang, Chen[1]  Fan, Yangyu[2]  Xiong, Lei[3]  
机构:[1]Northwestern Polytech Univ, Xian 710072, Peoples R China.;Air Force Engn Univ, Xian 710072, Peoples R China.;
[2]Northwestern Polytech Univ, Xian 710072, Peoples R China.;
[3]Air Force Engn Univ, Xian 710038, Peoples R China.;
年:2016
通讯作者:Wang, C (reprint author), Northwestern Polytech Univ, Xian 710072, Peoples R China.; Wang, C (reprint author), Air Force Engn Univ, Xian 710072, Peoples R China.
会议名称:PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ENGINEERING SCIENCE AND MANAGEMENT (ESM)
页码范围:5-10
会议开始日期:2016-01-01
收录情况:CPCI-S(WOS:000390298000002)  
人气指数:624
浏览次数:616
被引频次:2
语言:外文
关键词:Background detection; Saliency detection; Adaptive boundary; Manifold ranking
摘要:
Background detection has been successful in solving many vision tasks. However, there is a challenging problem that they usually fail to face the situation that object and background are similar. In this paper, we present a novel saliency detection method to address this issue. Firstly, we estimate the rough background probability which can characterize the spatial layout of image regions. Secondly, we propose a robust background measure, called adaptive boundary. It is closer to salient object ...More
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