基于街景图像测量的城镇建筑色彩质量评价方法研究——以加州伯克利为例

The Method of Building Color Quality Evaluation Based on Measuring Street View Images: Taking Berkeley, California as an Example

  • 摘要: 在城镇更新过程中,色彩对于提高城镇视觉品质和突显城镇风貌特色起到重要作用。本文选取美国加州伯克利市(Berkeley)的大学路(University Ave)为研究对象,使用谷歌街景图像(GSV)对街道建筑色彩信息进行采集,应用物理心理学方法和M-S色彩协调理论对街道建筑色彩质量和色彩和谐度进行研究。本研究提出了一种街道色彩分析与评价的新方法,对我国城镇色彩规划建设和风貌控制具有参考价值。

     

    Abstract: In the process of urban regeneration, color plays an important role in improving urban visual quality or showing urban styles and features. In this paper, University Ave which near the University of California, Berkeley was selected as the research object. The color information of street buildings was collected by Google Street View Image (GSV). The physical psychology method and M-S color coordination theory were applied to analyze the color quality and color harmony of buildings. The study applied a new method of street color analysis and evaluation, which has reference value for color planning and style control of small towns in China.

     

/

返回文章
返回