Image data classification refers to the classification according to the visual feeling or visual characteristics of the image, which has strong objectivity. With the development of image data classification technology in China, the digital research of painting works is also in-depth. Taking the Taoist murals of Ming and Qing Dynasties in Northern Shaanxi as an example, the image data classification is studied. Through the research on the correlation of visual characteristics and visual perception, it is found that at present, the image data of Taoist murals in Northern Shaanxi can be divided into three categories: correlation image, reference image and association image.

Sun Fei. Study on image data classification of Taoist murals in the Ming and Qing Dynasties in Northern Shaanxi. Frontiers in Educational Research (2019) Vol. 2 Issue 10: 54-57. https://doi.org/10.25236/FER.2019.021010.

[1] Zhang Ye, Lei Zukang, Yang Zhimin (2017). Digital Practice on the 2D Painting Information Survey for Ancient Painting: Taking the Fresco of Liangyi Temple at Wudang Mountain for Example. Huazhong Architecture, no.4, pp. 123-125.
[2] Lan Wei (2017). On Taoist figure paintings in Guangdong Museum. identification and appreciation to cultural relics, no.9, pp. 10-13.
[3] Li Yajun (2019). Buddhist factors in the frescoes of jiuyuangang tomb. Art Observation, no.5, pp. 49-52.
[4] Wang Yizhi, Hu Tongqing (2017). A preliminary understanding of the frescoes in the main hall of the fire temple in Dunhuang. China Taoism, no.1, pp. 62-67.
[5] Chen Lei (2017). Metaphor and dislocation: on the images of wind, rain and thunder in the murals of Zhaohua Temple. Centre of Art, no.5, pp. 56-58.