Abstract: The study of the characteristics of traditional architectural color order has important application value for the protection and inheritance of color styles. In this study, a quantitative analysis of the architectural color of traditional villages in Huizhou was carried out by combining it with digital technology, aiming at building a reasonable workflow for quantification of architectural colors. Based on quantitative studies, the data laws in the architectural color of Huizhou were explored and used to investigate the method of color restoration of ancient buildings on digital platforms. Research conclusions can provide technical references for protecting ancient architectural color styles.
　　The traditional buildings in Yuezhao Area of Hongcun, Huizhou were chosen as the research object. The K-means clustering algorithm extracted color data of buildings in different sections of the Yuezhao Area, and a quantitative analysis of static order characteristics of each color interface was carried out. Concerning changes in hue data, the hue order with overall stability and partial contrast of color interface was created through the harmonic way of hue contrast. For changes in chrominance data, the unity of the color interface was maintained through the overall low- chrominance color composition. For changes in brightness data, the color hierarchy with a generally strong interface was built through fluctuation of brightness difference. Furthermore, the positional relations of hue, chrominance, and brightness were analyzed from the perspective of the dynamic color order. With respect to hue distribution, warm color was used as the basic color, interspersing with cool colors and neutral colors. A generally stable hue spatial order with slight changes was formed. In terms of chrominance distribution, a coordinated and unified chrominance space order was formed through continuous low-chrominance interfaces. For brightness distribution, a loose spatial order of brightness was formed through the interpenetration of medium- and high-brightness colors and the expression of low-brightness colors in different sections and forms.
　　Based on quantitative research conclusions, the restoration of color styles was explored using the arithmetic difference classification algorithm and image segmentation. The research shows that the difference value of brightness data fluctuates obviously in the static color order of traditional buildings in the Yuezhao Area, and the spatial distribution levels of brightness are distinctive in the dynamic color order. On this basis, the color style can be accurately restored. Simultaneously, the images after color subtraction from the original images are compared with the calculated images in this study through the Japanese color-site website. It can be seen that the brightness of images after color subtraction is a little lower. Both algorithms can render colors well. However, the subtracting program can only generate the subtracting image and the representative color legend, but can neither visualize the positional relation of hue, lightness, and chrominance component nor directly express the positional relation of colors. Secondly, hierarchical mapping is not limited to Huizhou buildings. When the chrominance contrast of the restored object is relatively strong, the chrominance channel diagram can be used for hierarchical restoration. Meanwhile, this reduction method has certain variability. It can realize color conversion by inputting appropriate color data according to visual effect in case of non-ideal colors after hierarchical restoration, which can provide some references to the design. This color reduction program cannot realize color conversion.

Key words: Huizhou, traditional architecture, Yuezhao, color features, quantification

摘要： 传统建筑色彩秩序特征研究对于色彩风貌保护和传承具有重要应用价值。以徽州宏村月沼区域传统建筑为研究对象，采用k均值聚类算法对月沼区域各区段建筑进行色彩数据提取，量化分析各色彩界面静态秩序特征。根据行进过程中人眼最佳视距设置标准段，结合色相、彩度、明度分量可视化图像量化分析色彩界面的动态秩序特征。基于量化研究结论，采用等差分级法与图像分割算法对色彩风貌的还原进行探索。表明月沼区域传统建筑色彩静态秩序中明度数据差值波动明显，色彩动态秩序中明度空间分布层次清晰，以此为依据可以对色彩风貌进行准确的还原。

关键词: 徽州, 传统建筑, 月沼, 色彩特征, 量化