Research on Extraction and Application of Traditional Artistic Elements Based on Image Processing Algorithm

This paper discusses the research progress of image processing algorithm in the extraction and application of traditional artistic elements. With the development of computer technology and artificial intelligence, image processing algorithm has become an important tool to extract and apply traditional artistic elements. In this study, an effective image processing algorithm is designed, including noise separation from main structure based on relative total variation model (RTV) and improved Grab Cut algorithm for pattern contour extraction. Through these algorithms, artistic elements, such as color, texture and pattern outline, can be accurately extracted from complex traditional artistic images, providing innovative fusion schemes for modern design. Taking the traditional cloud water pattern in China as an example, this study verifies the feasibility and effectiveness of the designed algorithm, and shows the high-level performance of the algorithm in color, texture and contour accuracy. In the future, the algorithm will be further optimized to improve the processing efficiency and accuracy and better serve the analysis and protection of traditional art images.