Research into Oil Painting Recognition and Analysis System Based on Image Intelligent Algorithm
Zhihua Kuang, Peng Li · 2022
In the information society, the art market is quickly expanding in volume, and the development of oil painting art, as an important component of the art industry, is increasingly going global and becoming popularized. In order to improve the analysis and recognition ability of oil paintings with increasingly large volume, this study designs an oil painting recognition and analysis system based on image intelligent algorithm, which integrates the recognition of oil painting color and literary and scientific features and the intelligent detection function of oil painting. Through intelligent recognition of oil painting features, this study calculate the difference threshold between oil painting color and shape features, so as to realize the accurate recognition of oil painting.