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Abstract The Chinese traditional culture embodies the wisdom and strength of the people of all ethnic groups in China. The superb and exquisite workmanship of Yaozhou kiln ceramics, as well as the decorative patterns on the surface of porcelain and the rich categories of porcelain, fully reflect the great charm of Chinese traditional culture, which also has high historical research value, artistic appreciation value, and collection value. In the process of making Yaozhou Kiln ceramics, craftsmen selected raw materials according to local characteristics, and studied the rich and varied patterns of porcelain in terms of porcelain molding methods, decoration techniques and baking temperatures. In the process of the development of computer vision technology, image classification is the main content to improve the level of technology development, and it is also related to the efficiency of pattern recognition. Yaozhou's porcelain design method not only endows porcelain with material value, but also expresses people's spiritual sustenance by using the patterns on the porcelain surface. Decorations can not only become an important element of porcelain decoration, but also link national culture together and promote cultural transmission. The main principle of image classification is to automatically classify an image according to the visual characteristics, so that the image has a unique classification mark, which is convenient for the system to recognize. This paper uses image classification technology to extract and analyze the characteristics of Yaozhou kiln ceramics, mainly from the shape of porcelain, the type of ornamentation and inscriptions of its three features for image recognition and classification, and discusses the use of advanced technology to replace traditional experts to identify porcelain ornamentation.
Qian Liu (Mon,) studied this question.