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一种运动车辆阴影去除的新算法
引用本文:王振亚,曾黄麟.一种运动车辆阴影去除的新算法[J].四川理工学院学报(自然科学版),2011,24(2):210-213.
作者姓名:王振亚  曾黄麟
作者单位:四川理工学院自动化与电子信息学院,四川自贡,643000
基金项目:国家自然科学基金,四川省教育厅基础应用研究课题
摘    要:文章提出一种改进运动车辆阴影去除新算法,首先通过帧差获得车辆和阴影的轮廓图像,然后对轮廓点应用离散K-L变换解除R、G、B分量的相关性,并运用颜色聚类检测出阴影区域,最后用帧差法产生的运动车辆图像与获得的阴影图像差分得到去除阴影的运动车辆,实验表明该方法能够更好地实现运动车辆阴影的去除。

关 键 词:离散K-L变换  阴影去除  差分法  车辆检测

A New Algorithm of a Moving Vehicle Shadow Elimination
WANG Zhen-ya,ZENG Huang-lin.A New Algorithm of a Moving Vehicle Shadow Elimination[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2011,24(2):210-213.
Authors:WANG Zhen-ya  ZENG Huang-lin
Institution:(School of Automation and Electronic Information,Sichuan University of Science & Engineering,Zigong 643000,China)
Abstract:This article proposes a new algorithm improved for a moving vehicle shadow elimination in dynamic moving target image processing.Difference of the contour frame of a moving vehicle and shadow image is taken to do discrete K-L transformation of contour points of a moving vehicle in order to remove R,G,B relevant components of a moving vehicle and shadow image.Shadow area is detected by way of color clustering.Image of a moving vehicle removal shadow is detected by difference method of the frame image of moving vehicles produced with the shadow image.It is shown that a new algorithm of a moving vehicle shadow elimination presented here is of better accuracy and effects in experiments of moving vehicle image processing.
Keywords:discrete K-L transformation  shadow elimination  difference method  vehicle detection
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