Color conversion algorithm for color blindness using self-organizing map

The symptoms of “color blindness” are due to an innate lack or deficit of cone cells that recognize colors. People with color blindness have difficulty discriminating combinations of specific colors. In this paper, we propose a novel color conversion algorithm for color blindness. In the proposed method, the difficult colors for discrimination by color blindness are detected and converted for the legibility. This color conversion is consist of a color clustering using self-organizing map (SOM) and a analysis of the map structure. To validate the effectiveness of proposed method, it is applied to a image have various color combinations.