提出了一种新的适合于实时处理视频图像颜色识别的光照色调颜色恒常性算法。该算法主要解决在视频颜色识别中，由于近点光源的发散作用和在复杂背景影响下所造成的目标对象在图像局部各点上的颜色识别问题。在彩色感知的光学原理和数学模型基础上推导出了光照校正算法，并利用色调校正实现颜色恒常性。通过试验分析评估了各种识别算法，如光照校正、色调校正、光照色调校正、以及线性回归算法对颜色的校正效果，最后将测得的颜色差值和色调差值进行对比，证明了本算法对点光源散射作用引起的光照变化具有良好的校正作用，并证明了其算法理论推导的合理性。该算法的运算复杂度为O(n)，因而适合于视频的实时处理。

This paper presents a new color correction algorithm called Illumination &Hue Color Constancy. The algorithm mainly resolves the color constancy issue of which color features of the various spatial points are often influenced by the effects of the scattered lightness of the near light source with the complex background in video color recognition research. Based on the illumination principle and the mathematic model of color sense, this paper combines the illumination corrective algorithm with the hue corrective algorithm to achieve the color constancy. By constructing a simulation of the machine vision system, the paper evaluates the algorithm' s color recognition ability, and also shows the errors values of RGB and hue to analyze its corrective ability. With the comparison of the experimental results for illumination corrective algorithm, hue corrective algorithm, illumination & hue corrective algorithm, and linear regression algorithm, the paper demonstrates that the algorithm has not only good corrective ability for the color influenced by the effect of the invariant illumination under scattering light, but also has accurate recognition ability for the color features. As a result, the paper presents that the theory of the hue & illumination algorithm is rational and corrective. Taking the advantage of the compute complexity which isO(n), the hue & illumination technique is easy to achieve and might have extensive usefulness in real-time video recognition.