基于物理特性和形态学方法的阴影去除算法  

Shadow Removal Algorithm Based on Physical Features and Morphological Method

作　　者：张超[1] 林鹏[1] 赵宇明[1] 

机构地区：[1]上海交通大学图像处理与模式识别研究所系统控制与信息处理教育部重点实验室,上海200240

出　　处：《计算机工程》2012年第10期131-133,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(61175009)

摘　　要：传统智能监控系统在阳光下进行测试时,阴影对检测结果影响较大。为此,提出一种用于视频的阴影去除算法,该算法用阴影的光亮、RGB和色差等物理特性得到初步去除阴影的目标结果,运用形态学方法扩充和完善目标,在获得目标的真实边缘和膨胀方向基础上,利用灰度、纹理和梯度的相似性对目标进行扩充。实验结果表明,该算法的平均正确率从68.47%提高到89.17%。In intelligent surveillance system,the result is seriously influenced by shadow on sunny days.This paper proposes an algorithm to remove the shadow from images.It detects shadow regions using physical features of shadow for an initial result with less shadow.Three properties of shadow,luminance,RGB and chrominance are taken into account,to get the primary result.And uses morphological methods to improve result.Using the similarity of gray density,texture value and the gradient value,a good result can be obtained.Experimental result shows that the general accuracy of this algorithm is increased from 68.47% to 89.17%.

关 键 词：阴影检测 阴影去除 目标跟踪 智能监控系统 高斯混合模型 边缘检测 图像亮度 图像梯度 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]