计算机工程2011，Vol.37Issue(13)：156-159,4.DOI:10.3969/j.issn.1000-3428.2011.13.050
基于多特征融合的运动车辆阴影消除方法
Shadow Removal Method for Moving Vehicle Based on Multiple Feature Fusion
摘要
Abstract
This paper proposes a shadow removal method based on edge feature.By using the edge information of the shadow which is obtained by edge detection algorithm the shadow of moving vehicle is removed by edge difference analysis and morphological operations.Then, a shadow removal method based on gray feature is proposed, which remove the shadow of vehicle using Gaussian darkening factor model.Combined with the advantages of two methods, a method of shadow removal for moving vehicle based on multiple feature fusion is proposed.It can effectively solve the problem of wrong detection caused by complex edges in shadow region and the similar color between vehicle and shadow.The testing results demonstrate that by using the proposed method shadow removal can be realized with real-time performance, strong robustness and high accuracy.关键词
多特征融合/边缘检测/高斯模型/阴影消除/智能交通Key words
multiple feature fusion/ edge detection/ Gaussian model/ shadow removal/ intelligent transportation分类
信息技术与安全科学引用本文复制引用
刘怀愚,李璟 ,洪留荣..基于多特征融合的运动车辆阴影消除方法[J].计算机工程,2011,37(13):156-159,4.基金项目
安徽省教育厅自然科学基金资助项目(KJ2011Z330,KJ2011B142) （KJ2011Z330,KJ2011B142）
