Color reduction algorithm of color image based on artificial immune

A self-learning color reduction algorithm of color image is proposed for the large amount of color and redundant information in true color image through similarity analysis of biological immunity and self-learning classification. Through self-learning color reduction, the color of original image can be reduced for the applications, such as object localization, image segmentation and recognition. Experiment results demonstrate that the proposed algorithm has good performance on color reduction and low quantization error compared with traditional color quantization algorithm.