| Abstract |
| Color image scale captures the knowledge of colorists and represents both adjectives and colors in the same adjective image scales in order to select color(s) corresponding to an adjective. Due to the difficulty of psychological experiment and statistical analysis, in general, only a limited number of colors are located in the color image scales. This can make color selection process hard especially to non-expert. In this paper, we propose an interpolation of color image scale based on the fuzzy K-nearest neighbor method, which provides continuous colors according to the coordinates of the image scales. The experimental results show that the interpolated image scales can be practically useful for color selection process. |
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| Key Words |
| 보간, 퍼지 K-근접 이웃 보간, IRI 이미지 스케일, Kobayashi 이미지 스케일, Interpolation, KNN, fuzzy K-nearest neighbor, IRI image scale, Kobayashi image scale |
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