Oil painting teaching design based on the mobile platform in higher art education.

ABSTRACT: To improve the current oil painting teaching mode in Chinese universities, this study combines deep learning technology and artificial intelligence technology to explore oil painting teaching. Firstly, the research status of individualized education and related research on image classification based on brush features are analyzed. Secondly, based on a convolutional neural network, mathematical morphology, and support vector machine, the oil painting classification model is constructed, in which the extracted features include color and brush features. Moreover, based on artificial intelligence technology and individualized education theory, a personalized intelligent oil painting teaching framework is built. Finally, the performance of the intelligent oil painting classification model is ev

SUBMITTER: Yi G 

PROVIDER: S-EPMC11226682 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature