中国国画艺术美感特征分析与分类

图像艺术美感自动分类是近年的热门研究领域，国画作为中国传统艺术文化的重要体现，其美感也极具研究价值。在5类美感标注的国画数据库基础上，进行了国画艺术美感自动分类研究和相关特征分析。经过特征提取和筛选，得到适用于美感分类的33个图像特征，并基于特征重要性建立了物理特征与艺术美感、美术技法之间的映射关系。同时使用该特征集在多种分类器上进行艺术美感自动识别，验证了国画艺术美感自动分类的可行性。结果表明，国画艺术美感分类的主要相关美术元素按重要性排序为:颜色、笔触、亮度和线条。 

Aesthetic feature analysis and classification of Chinese traditional painting

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.