Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Quantitative Comparison of Geographical Color of Traditional Village Architectural Heritage Based on K-Means Color Clustering—A Case Study of Southeastern Hubei Province, China
The architectural heritage of traditional villages, as an important bearing entity of regional culture, contains strong regional color attributes. However, under the wave of contemporary rapid economic development, the color of traditional village architectural heritage is facing serious challenges. The K-means clustering algorithm has outstanding advantages in image color clustering and is suitable for the large-scale data collection of sample picture primary colors to reduce subjective bias and can be combined with the HSV color space to optimize the results. In this study, the architectural heritage of four traditional villages of the Ming and Qing dynasties in the southeastern region of Hubei Province is taken as the research object, the K-means clustering algorithm is used to quantify the color data of the architectural heritage, and the HSV color space is used to analyze the distribution characteristics of the color data and to excavate the uniqueness of its colors and the regional characteristics. The results of this study show that the color characteristics of the architectural heritage of the four villages are as follows: the main colors, red-yellow and red, and the overall color percentage should be between 80% and 100%. The auxiliary colors, cyan blue and blue, should range from 0 to 20% and show low saturation and medium-high value characteristics. Based on the above results, the recommended range of values for the architectural heritage colors in the southeastern part of Hubei Province is clarified: the hue values are between the ranges of 0–40 and 200–230, the saturation is between 0 and 30%, and the values are in the range of 30–70%. At the same time, based on this range of values, a set of recommended chromatograms was generated to provide a visual reference for the adjustment of architectural heritage colors, which is helpful for the conservation and development of architectural heritage colors and landscapes.
Quantitative Comparison of Geographical Color of Traditional Village Architectural Heritage Based on K-Means Color Clustering—A Case Study of Southeastern Hubei Province, China
The architectural heritage of traditional villages, as an important bearing entity of regional culture, contains strong regional color attributes. However, under the wave of contemporary rapid economic development, the color of traditional village architectural heritage is facing serious challenges. The K-means clustering algorithm has outstanding advantages in image color clustering and is suitable for the large-scale data collection of sample picture primary colors to reduce subjective bias and can be combined with the HSV color space to optimize the results. In this study, the architectural heritage of four traditional villages of the Ming and Qing dynasties in the southeastern region of Hubei Province is taken as the research object, the K-means clustering algorithm is used to quantify the color data of the architectural heritage, and the HSV color space is used to analyze the distribution characteristics of the color data and to excavate the uniqueness of its colors and the regional characteristics. The results of this study show that the color characteristics of the architectural heritage of the four villages are as follows: the main colors, red-yellow and red, and the overall color percentage should be between 80% and 100%. The auxiliary colors, cyan blue and blue, should range from 0 to 20% and show low saturation and medium-high value characteristics. Based on the above results, the recommended range of values for the architectural heritage colors in the southeastern part of Hubei Province is clarified: the hue values are between the ranges of 0–40 and 200–230, the saturation is between 0 and 30%, and the values are in the range of 30–70%. At the same time, based on this range of values, a set of recommended chromatograms was generated to provide a visual reference for the adjustment of architectural heritage colors, which is helpful for the conservation and development of architectural heritage colors and landscapes.
Quantitative Comparison of Geographical Color of Traditional Village Architectural Heritage Based on K-Means Color Clustering—A Case Study of Southeastern Hubei Province, China
Li Dong (Autor:in) / Meiqi Kang (Autor:in)
2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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