为了在检测目标时排除阴影的干扰，首先论述了光照无关图的原理及其重要性质，然后在此基础上提出了一种基于光照无关图的阴影去除方法。该方法根据光学成像原理通过对图像进行变换来得到一幅与光照无关的灰度图，以达到去除阴影的目的。同时针对该方法需事先测定摄像机的光照无关角的不便之处，还提出了基于直方图统计的摄像机光照无关角判定法则。通过对大量不同场景下视频监控图像的实际测试结果表明，基于光照无关图的阴影去除方法以及基于直方图统计的光照无关角判定方法，可以有效去除目标阴影，并可准确分割目标。

To get rid of the interference of shadows when detecting objects, we discussed the theory of illuminant invariance image and its important property first. Based on this theory, a method for removing the casting shadows of objects was proposed. According to optical imaging theory, this method transforms a color image to an illuminant invariance gray- scale image and removes the shadows. To obtain the illuminant invariance image, a camera-dependent illuminant invariance angle should be measured first. Aiming at solving this inconvenient, a histogram-based rule for deciding the illuminant invariance angle was proposed also. A number of experiments results upon different scenes demonstrated that, the proposed method is able to remove the casting shadows effectively and segment the objects accurately.