Automatic Product Color Design Using Genetic Searching

Color plays a key role in determining a consumer's response to a product appearance. A gray-theory-based linguistic evaluation method and a color-harmony-based aesthetic evaluation method are combined in this study to diagnose appropriate product-color schemes. Accordingly, this study develops a RGB-based quantitative aesthetic and linguistic measurement scheme to evaluate the image perception of a particular product-color scheme. In an inverse process, genetic algorithms are applied to search for the near-optimal color combination which satisfies the designeris specified product-color linguistic evaluation goal and achieves a high degree of color harmony