Simulation of Intelligent Color Matching Algorithm for Art Design Based on Markov Model

The expression of design color in art design is more and more worthy of attention. Design color is one of the main means of art design. Therefore, it is particularly important for the research and training of design expression techniques. This paper proposes an intelligent matching method of art design color, which can effectively improve the quality of art design works. In order to solve the problem that the feature invariants of pattern colors cannot be extracted and the accuracy of color matching is low, a color matching method based on Markov model is proposed. The simulation results show that the proposed method improves the matching efficiency by 30.21%. This method shortens the time of image color recognition and improves the efficiency and level of color matching in art design. It has application value in improving the aesthetic feeling of design and can be popularized.