摘要
在基于HSV颜色空间检测阴影的基础之上,针对其存在的问题,即容易把亮度较低的车辆也作为阴影消除,提出一种利用车辆边缘对称性的HSV方法。该方法先对感兴趣区域进行边缘检测,之后在垂直方向上对像素点的个数进行累加,由于车辆两边的边缘轮廓明显,累加值通常最大,以此求得车辆的边缘与对称轴,确定车辆的范围,之后在车辆区域之外采用基于HSV颜色空间的方法进行阴影的消除。实验表明,该方法能有效解决亮度较低的运动目标被检测成阴影的问题。
In the process of shadow detection, the method with HSV color information has a problem, it often mistakes the moving object with dark color for shadow. To solve this problem, presentes an algorithm based on edge information and HSV color information. At first, makes a edge detection at the Region-of-Interest（ROI）, then in vertical direction cumulates the number of the pixel points. Because the edge of both sides of the vehicle is evident, the cumulation usually is the largest, gets the axis of symmetry and the edge of the vehicle by the character. After determining the scope of vehicles, uses the method with HSV color information to detective shadow out of the region of the vehicle. The comparison experiment proves that the algorithm can effectively solve the problem of mistaking moving dark object for shadow, it promotes the accuracy of identifying shadow.
出处
《现代计算机》
2009年第11期51-55,共5页
Modern Computer
