基于色彩均值量化法的乡村色彩风貌量化提取与评估研究

Research on Quantitative Extraction and Evaluation of Rural Color Landscape Based on K-means Clustering

  • 摘要: 与城市色彩以建筑立面为主体的特征不同,自然环境色彩和传统文化色彩在乡村色彩环境中占据了重要位置。本文以辽宁省丹东市宽甸满族自治县青山湖村为研究对象,以《中国颜色体系》(GB/T 15608—2006)和《建筑颜色的表示方法》(GB/T 18922—2008)为基本研究工具,运用无人机航拍鸟瞰图和现场调查相结合的方法获取乡村景观风貌数据,再使用色彩均值量化法(K-means聚类)提取乡村风貌中的色彩数据,并进行乡村色彩类型和色彩载体的构成分析,评估乡村色彩风貌情况。量化提取与评估结果表明,乡村色彩风貌的构成特征中自然环境色占比较高,人工环境色彩占比相对较低,与城市色彩具有较大差异。在此基础上提出乡村色彩规划的自然适应性、技术适应性和稳定优先性3个观点,并基于此以青山湖村为例,构建不同于城市色彩的乡村色彩风貌规划设计策略。

     

    Abstract: Different from the urban color landscape, which is predominantly characterized by building facades, the natural environment color and traditional cultural color play significant roles in the rural color environment. This paper takes Qingshanhu Village in Kuandian Manchu Autonomous County, Dandong City, Liaoning Province, as the research subject. Utilizing The Chinese Color System (GB/T 15608-2006) and Methods of Color Specification for Architecture (GB/T 18922-2008) as the fundamental research tools, it obtains rural landscape data through a combination of aerial views from unmanned aerial vehicles (UAVs) and field investigations. Subsequently, K-means clustering is employed to extract color data from the rural landscape. A composition analysis of rural color types and color carriers is conducted to evaluate the rural color landscape. The results of the quantitative extraction and evaluation reveal that the natural environment color constitutes a higher proportion compared to the artificial environment color, indicating that the structural characteristics of the rural color landscape differ considerably from those of the urban color landscape. Based on these findings, three viewpoints are proposed: natural adaptability, technical adaptability, and stability priority in rural color planning. Furthermore, Qingshanhu Village is used as an example to formulate a planning and design strategy for rural color style that distinguishes itself from urban colors.

     

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