Coloration Parsing and Transfer Design of Han Folk Costumes

Abstract

Traditional Costume Color has significant value of transmission and regeneration in contemporary design. In this paper, we propose an automatic color parsing and transfer design system that assists designers to realize the creative design of the pattern color matching based on different traditional costume images and recommend sequence color schemes. The design system includes three modules: color extraction, automatic coloration, and color matching evaluation module. The adaptive bipartite K-means clustering algorithm is utilized to extract colors of each sample costume, while the genetic algorithm is applied to generate the optimal color matching scheme, and designers can participate in the design to obtain a satisfied scheme. The evaluation model combines the aesthetic measurement formula and the aesthetic measure of color harmony to evaluate the coloration quality. In the experiment, Jiangnan Han folk costumes are chosen as typical source samples to illustrate the effectiveness of the proposed method. Results show that different number of extracted colors and patterns can efficiently realize automatic coloration, and can provide auxiliary decision-making for pattern color design in fashion industry.