| Citation: | ZHAN Ying, GAO Yan, XIE Lingyunet al. Aesthetic feature analysis and classification of Chinese traditional painting[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(12): 2514-2522. doi: 10.13700/j.bh.1001-5965.2019.0375(in Chinese)
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Automatic classification of aesthetics in images has been a popular research field in these years. Chinese traditional painting is a pivotal embodiment of Chinese traditional arts, so its aesthetics shows a great potential for researching. In this paper, the automatic classification study and relevant feature analysis of aesthetics were conducted in a Chinese painting database annotated with 5 classes of aesthetics. First, based on subjective annotation, by employing feature extraction and selection, 33 optimal image features were filtered out for aesthetic classification. Then, a mapping analysis was conducted on the relationship among objective features, subjective aesthetics and image artistic elements. Finally, an automatic recognition using a variety of mainstream classifiers was implemented on the optimal feature set, and an acceptable performance was obtained, which proves the feasibility and effectiveness of automatic classification of Chinese painting aesthetics. The results show that the main artistic elements (in order) of aesthetic classification for Chinese traditional painting are:color, brushwork, brightness and lines.
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