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.