A shadow elimination algorithm for vehicle detection by merging projection features and HSV color space - 文章详情页

作者：

Haijun, Wu (Haijun, Wu.) | Le, Xin (Le, Xin.) | Yangzhou, Chen (Yangzhou, Chen.) (学者：陈阳舟)

收录：

EI Scopus

摘要：

This　paper　presents　a　novel　algorithm　based　on　projector　features　to　eliminate　dynamic　shadow.　Through　the　projected　image,　this　method　will　split　the　vehicle,　and　extract　the　single-vehicle　image.　Then　using　the　gradient　projection　separates　regions　of　shadow　and　vehicle.　Effect　of　shadow　elimination　of　the　algorithm　is　better,　and　separated　image　of　vehicles　has　not　holes.　In　addition,　this　paper　improves　the　algorithm　of　shadow　elimination　based　HSV　color　space　by　optimizing　the　Ostu　algorithm.　Using　merging　algorithm　integrates　these　two　algorithms　to　further　improve　the　effect　of　shadow　elimination.　And　performance　of　the　algorithm　is　more　accurate　description　by　using　performance　parameters　of　F.　©　2011　IEEE.

关键词：

Parameter estimation Vehicles Merging Image processing Color

作者机构：

[ 1 ] [Haijun, Wu]College of Electronics Information and Control Engineering, Beijing University of Technology, Chaoyang District, Beijing, China
[ 2 ] [Le, Xin]College of Electronics Information and Control Engineering, Beijing University of Technology, Chaoyang District, Beijing, China
[ 3 ] [Yangzhou, Chen]College of Electronics Information and Control Engineering, Beijing University of Technology, Chaoyang District, Beijing, China

通讯作者信息：

电子邮件地址：

xinle@bjut.edu.cn

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