Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective

Abstract

In this study, a new quantifiable and refined urban street color analysis method was proposed by combining professional color cards and efficient software color recognition, which solved the problems of low efficiency and difficulty in the quantification of urban color research and analysis. The research mainly uses China Building Color Card (CBCC) and Python (use programs for the HSV color segmentation of pictures) and other software to carry out color recognition for a street view. From the aspects of color composition, type, proportion, visual level, and color sequence of the street facade, this article makes a quantitative analysis of the color of Avenida de Almeida Ribeiro in Macao from multiple angles. The method of combining color card colorimetry with computer color recognition, which not only considers the inherent color of the building but also includes the color situation under the influence of the environment, can express the “actual color situation” of the building more completely. This article quantifies, combs, summarizes, and compares architectural color and environmental color completely. This method has good universality and ease of use in practice, and the conclusion of the study can provide a reference for the color planning of Macao, the color selection of urban renewal has reference significance, and provide a new method for the study of urban color.

Smart urban renewal management of heritage buildings based on POI and GIS: macau’s largo boundary space

“…Its spatial functions and symbolic significance stand out as distinctive. While scholars have explored the historical development, spatial scale, artistic styles, and design transformations of Largo [1][2][3][4][5][6][7][8][9][10] , there is limited research focusing on the quantification and analysis of its boundary space's different attributes.…”

A Study on the Visual Comfort of Urban Building Colors under Overcast and Rainy Weather

“…Then, four researchers separately correlated and calibrated the color values obtained from the computer with those compared through visual inspection on site. This method took into account not only the buildings' inherent colors but also the color conditions influenced by the environment, enabling a more thorough representation of the buildings' "true color conditions" [40]. Previous studies have shown that in the analysis of perceived relationships, value and chroma are more potent indicators.…”

“…Chroma contrast (CC) is divided into strong CC (CCs) (8 ≤ CC ≤ 12), medium CC (CCm) (4 ≤ CC < 8), and weak CC (CCw) (0 ≤ CC < 4) [36,42,43]. It should be emphasized that in order to select the typical architectural color samples of residential and commercial buildings in Hangzhou, the inherent colors of the architectural samples were divided into main colors, auxiliary colors, and decorative colors according to the color area ratio of the architectural samples [40]. This research mainly adopted the value, chroma, and difference between the main and auxiliary color values of the target building.…”