Self-Organization Method of Artistic Design Elements Based on Visual Similarity Calculation

Art design is essentially an expression of visual language, which creates expressive works through the combination and arrangement of elements such as color, shape and texture. However, the organization of elements often depends on subjective experience and intuition, and lacks scientific quantitative analysis. Therefore, this paper proposes a self-organization method of artistic design elements based on visual similarity calculation. Determine the visual similarity function, construct the self-organizing model of art design elements, construct the knowledge map of art design elements based on entities, attributes and relationships, consider differences in data presentation between different data sources, calculate the weights of numerical values, fit the curves of data and art design elements, output the results after fitting, and edge process the data in art design elements. The optimization objective function of art design elements is established. On this basis, the self-organizing optimization scheme is obtained based on visual similarity calculation, and the optimization solution is carried out according to the scheme. After many iterations, the self-organizing method of art design elements is realized. The experimental results show that the relative deviation of this method is small, and the visual similarity measure is over 90%. After applying this method, the entropy value is increased to 7.3, and the effect is better.