Classification and analysis of 2-color impression focusing on individual differences
It has often been pointed out that each color has a particular impression and that there are certain similarities and individual differences in the relationships between a color and its impression. We now present a few examples of individual studies that have focused on color impressions. In this paper, in order to examine individual characteristics of color impression, we propose a method that combines GA, PCA and CA. GA is used to select suitable parameters from color attributes -namely, RGB, HSI, and L⋆a⋆b⋆. PCA is used to extract characteristics data from the selected parameters. Furthermore, CA is used to classify the data set into groups. In order to demonstrate the effectiveness of this proposed method, computer simulations are performed and the results are analyzed using data gathered from 6 individuals. As a result, characteristics data that were obtained by using GA and PCA differed for each subject. Moreover, classification accuracy, which is the percentage of data classified correctly among all data, was more than 80% for all subjects. It is considered that the proposed method could be one of the effective methods for analyzing the individual characteristics of color impressions.