Index which Indicates Features of Streetscape Colors

Abstract

This study has two purposes. One of them is to establish grasping methods color feature of streetscapes. The other is to clarify showing the indicator of “unity” of streetscape color. I have developed a method to shoot streets with a video camera and to correct and convert the data to CIEL*a*b*. In order to create a good landscape it is necessary to “unify” the color of the streetscape and avoid monotony. I clarified that the first principal component contribution ratio obtained by principal component analysis of the streetscape image data is an indicator of unity of the streetscape color. I also found that monotonousness increases as the standard deviation is small.