Realization of an Intelligent Image Processing Technology for the Analysis of Chinese Painting Color Education

Abstract

An intelligent information recognition technology based on picture image processing was proposed to further improve the application effect of intelligent image technology in the color teaching of painting major and improve the level of Chinese painting color teaching with the aid of intelligent image processing technology. Special image recognition technology was used to effectively identify the color of Chinese paintings based on traditional teaching methods. MATLAB software for simulation processing of Chinese painting was also utilized through the fuzzy set theory test sample image recognition. The results show that the method is based on feature vector extraction and orthogonal basis transformation histogram. The former takes 0.072288 seconds in image recognition time, while the latter takes 0.134939 seconds, which is nearly double the former time. Therefore, the software and image processing technology mentioned in the article can further improve the effect and time of image color recognition.