%0 Journal Article
%T Moving Shadow Removal Based on Improved LBP Features<br>基于改进型LBP特征的运动阴影去除算法
%A HAO Can
%A ZHU Xin-Zhong
%A ZHAO Jian-Min
%A XU Hui-Ying
%A <br>郝灿
%A 朱信忠
%A 赵建民
%A 徐慧英
%J 计算机系统应用
%D 2010
%I 
%X Based on the local binary patterns, a new improved method for extract local texture is introduced, namely local ternary patterns. This extraction method can be used to remove the shadow of movement. The background is modeled with adaptive gaussian mixture models, to get the background and foreground object. Then the intensity property is used to obtain the probable-shadow blocks. The shadow detected is improved based on the similarity of texture represented by LTP between shadow region and corresponding region in the background. Finally, the shadow can be removed accurately. The experimental results show that the algorithm can inhibit partition noise, and accurately remove the shadow of the movement.
%K texture features
%K Gaussian mixture models
%K local ternary patterns
%K shadow removal<br>纹理特征
%K 混合高斯模型
%K 局部二值模式(LBP)
%K 阴影去除
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=91D028556173F4C08B658AD96ED5DE77&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=94C357A881DFC066&sid=E203FB1A272C9DD2&eid=06EA2770E96C5402&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=9