Aesthetic Coloring for Complex Layout Using Genetic Algorithm

Aesthetic coloring is most important in computer visual arts while it is affected by complex factors such as color number, color attribute value, area color covered, and color pairs. In previous researches many intelligent evaluation systems have been presented for simple layout. Color design for complex layout by artificial intelligent is still an unsolved problem. In this study GA was used to solve the complex optimization problem. To the question Moon and Spencerpsilas aesthetic measure was used to construct the optimization model. The modified GA was introduced in the intelligent program. And an illustrative example was analyzed in the end. Results showed that the aesthetic coloring system can automatically create beautiful color images in a short time. Future work should focus on improving the aesthetic measure model.