Anyone has the original color world. There is it whether our problem, it are the things that original sense of color is native whether it is an acquired thing. Red is not a color that stands out brightly for dichromatic individuals who have a different sense of color from the majority. However, they know that the color of passion is red. They also know that the color of sadness is of bluish color. But these understandings are learned a posteriori. If so, there must be a discrepancy in terms of the impression between the stimulation of letters by the color name and the stimulation by color itself. Impression is also expected to be different between the majority and the minority. This study conducted the impression survey by SD method using stimulations by letters and colors to understand instinctively the color world as seen by individuals with different sensation of color.
Abstract This article proposes a confusion-line separation algorithm in a CIELAB color space using color segmentation for protanopia and deuteranopia. Images are segmented into regions by grouping adjacent pixels with similar color information using the hue components of the images. To this end, the region-growing method and the seed points used in this method are the pixels that correspond to peak points in hue histograms. In order to establish a color vision deficiency (CVD) confusion-line map, the authors establish 512 virtual boxes in an RGB 3-D space so that boxes existing on the same confusion line can be easily identified. The authors then check whether segmented regions exist on the same confusion line and perform a color adjustment in a CIELAB color space so that all adjacent regions exist on different confusion lines in order to provide the best color-identification effect for those with CVDs.