Research on “AI Level” in Art Appreciation

In order to improve the intelligent effect of art appreciation, this paper studies the “AI” level of art appreciation, applies artificial intelligence to art appreciation, and proposes a digital art image generation algorithm based on handwritten character information modulation, which uses handwritten character as a benchmark generator to create art images that can adapt to the density and structure information of the original image. Moreover, a color gradient algorithm is designed for line extraction, which first uses the normalization calculation of RGB three-channel plane gradient to highlight edge information in smooth internal area, and uses the maximum variance threshold to segment the threshold to obtain smooth and clear line contour map. This paper realizes the integration of the structure of non-medium floating projection gesture interaction system, and intelligently processes art works. Combined with use analysis, it can be seen that the AI system of art appreciation proposed in this paper has good art appreciation effect and has a good promotion to improve people's art works analysis level.