Biologically inspired color perception

The primate visual system has an efficient mechanism for color processing, it can receive a constant color in varying lighting conditions, so that many algorithms has been proposed to model the visual system functionalities. The aim of this study is to develop a color perception model that can use the opponency mechanism found in the visual system as a classification method in order to compute a unique hue. The response of the single opponent cells are represented by equally spaced vector in polar coordinate which are added to find a single vector for each pixel and the vector angle represent the unique hue of that pixel. The model has been tested with an image under five different illumination, and the average ratio of the correctly classified pixels was 95%.