一种基于物理反射模型颜色不变性的阈值分割算法

An Image Segment Method Based on Color Invariance of Physical Reflection Model

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阈值分割.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.

This paper proposes a new background segmentation method based on Phong reflection model for video surveillance system. The main goal of this method is to reduce the affections of the non-uniform illumination and specular reflection. The steps of this method include. First, the colour invariance of diffuse reflection was deduced and the diffuse component of the model was estimated; second, the specular factors and specular exponent of the specular component was calculated by following differential rules; third, based on the established model, the background segment is accomplished. The experimental results and the evaluation show that this method can not only be robust to the non-uniform lighting and the specular reflection of background surface, but also be applicable for real-time video surveillance system.