为了对光线变化的图像进行顺利侵害，提出了一

种利用贝叶斯学习方法来进行视频图像分割的算法，印先在每个像素点处对不断变化的背景建模，同时计算每个像素点

处的颜色直方图，再用这些直方图来表示该像素点处特征向量的概率分布，然后用贝叶斯学习方法来进行判断，以确定在光线缓慢或者突然变化的时候，每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach to the use of video image segmentation algorithms, printed first in each pixel point on the changing context of modeling, at the same time calculated for each pixel point Department of color histogram, and then these pixel histogram to indicate the point of the probability distribution of feature vectors, and then use Bayesian learning method to judge, to determine the slow or sudden changes in light, when each pixel is belonging to the prospect of still belonging to the background.