Application Strategies of Artificial Intelligence Painting Technology in Oil Painting Art Education

Abstract

This paper constructs a mathematical model of oil painting generation, elaborates the algorithmic principles of painting analysis, color transformation and brush painting, and proposes an efficient oil painting generation algorithm. From the perspective of teaching practice, it analyzes the innovative application strategies of AI painting technology in teachers' lesson preparation and classroom teaching. The performance advantages of the proposed oil painting generation system are verified through experiments and system evaluation. Combined with teaching experiments, the actual effect of AI-assisted oil painting art education is evaluated. Under the same image segmentation conditions, compared with the traditional image segmentation-based regional stroke algorithm, the algorithm proposed in this paper significantly reduces the running time, shortening about 80% or more on average, up to 94.1%. In teaching practice, the experimental group outperforms the control group in both aesthetic expression and thinking development. The system obtained an average score of 78.91/100 in the SUS usability test, which belongs to B grade.