Chinese painting and calligraphy image recognition technology based onpseudolinear directional diffusion equation

• Autores: Wei Cai
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 1509-1518
• Idioma: inglés
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• Resumen

  • In order to study the image recognition technology of traditional Chinese painting and calligraphy based onpseudo linear directional diffusion equation. Firstly, in the pixel domain, an overall style feature extractionalgorithm of ink painting based on histogram is proposed, and then the local area with the most representative stroke style is located based on Sobel edge detection method to obtain the local detail style informationdescribing the stroke. Then, using image processing, computer vision and other technologies, combined withsome quantifiable authenticity identification indexes of Chinese painting, this paper designs a authenticityidentification method of Chinese painting based on image recognition to assist the authenticity identification of Chinese painting and improve the reliability of authenticity identification. The experimental results showthat the fusion algorithms based on information entropy and distance are proposed in this paper. On the premise of maximizing the artistic style, the fusion algorithm combines the advantages of the overall and local class results, so as to realize the automatic classification of ink painting based on artistic style and output the classificationresults