Research Of Hierarchical Color Coding

Color is a very important visual feature which is widely used incomputer vision especially image processing. However, most color featuresare extracted from the perspective of computer vision, they are difficult tocharacterize different color attributes simultaneously as the human visualsystem does, such as hue, saturation and color constancy and so on. Somescholars attempt to extract color features by simulating the process ofmammals peceiving color. Since the complexity and disunion of colorvision’s mechanisms in the cortex, most studies only focus on the colorcharacteristics of the low-level stage of visual pathway, rarely take intoaccount the entire color channel. On the basis of summarizing color neuralmechanisms, we carry out research of the neural coding of color which isvery important and valuable for the extracting biological and stable colorfeatures.This article proceeds from the perspective of biological vision. Bystudying the neural mechanisms of color perception for each cortical region,as well as information transfer and conversion process from a cortical regionto the next neighboring one, we establish a hierarchical model of colorcoding (called HMCC). The model well simulates the neural processing of natural light entering through the retina into the eye, the lateral geniculatebody, and then to V1, V2, PIT and IT stage, and eventually forms colorfeature expression from low-level to higher-level vision. The color featureextracted by the HMCC model is with color constancy, stability and othercharacteristics.In order to evaluate the performance of proposed HMCC, firstly we doexperiments using color constancy image sets and verify that the feature hasbetter color constancy than ordinary color features.Meanwhile, The colorfeature extracted by the HMCC model is used to classify the USGS remotesensing data sets and Caltech-101data sets, these experimental results showthat the proposed method can achieve better results than these traditionalcolor features. Finally, by analyzing experiment of two color-related data setswe verify the effectiveness of color discrimination of the proposed method.