Exploring the optimization method of color matching in visual communication design based on graphical algorithm

Abstract

 Color can not only have an impact on the user's mood, but also affect the user's browsing time. Therefore, color matching in visual communication is of great significance. In this paper, following the basic principle of color matching, we propose to use improved clustering algorithm to obtain image color features, and then use association rule mining algorithm to construct color matching rules. Considering that the essence of the color matching problem is combination optimization, genetic algorithm can be used to achieve color matching optimization, and finally design a color matching model based on color matching rules, and explore and analyze the model in this paper. The improved clustering algorithm obtains 2216 colors and 24 optimal color numbers, while the association rule mining algorithm constructs 4 two-color and 3 three-color matching rules. In addition, with the genetic algorithm, 20 optimal color matchings of the living room are obtained, which comprehensively confirms the application value of the research in this paper in color matching.