说明：  提出了一种适用于视频监控场景的基于物理反射模型的阈值分割算法，该算法主要解决背景颜色识别受 光强非均匀分布、高光效应影响的问题．算法步骤主要包括：首先基于Phong反射模型推导出漫反射分量颜色不 变性并根据这一判定条件计算得到漫反射分量系数；其次，利用微分法则实现对模型镜面反射分量系数和镜面 反射强度指数的估计；最后，根据建立的物理反射模型实现背景阚值分割．大量实验分析结果表明，文中提出的 算法利用视频监控的物理反射模型和大量统计信息，能够更好地解决受光强非均匀分布和高光效应影响的颜色 识别问题．
(A Scene for video surveillance physical reflectance model based segmentation algorithm to solve the background color recognition by the major Non-uniform distribution of light intensity, high light effect of the problem. Algorithm steps include: First, based on Phong reflection model is derived diffuse component colors Denaturing conditions according to the judge calculated coefficient of diffuse reflection component Secondly, the use of differential implementation of the model law component coefficients and specular reflection mirror Estimates of reflection intensity index Finally, the establishment of the physical realization of the background reflectance model Kan segmentation. A large number of experimental results show that the proposed Algorithm makes use of video surveillance and a lot of physical reflection model statistical information that can better address the subject of non-uniform distribution of light intensity and color effect of high light Identify the prob)