[JCR]基于人眼视角的澳门新马路建筑色彩计算机视觉量化研究

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

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.

Keywords: computer vision, architectural color, streets of Macao, color identification, quantitative research

Citation: Yan L, Li Q, Zhang Y and Zhu C (2022) Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective. Front. Comput. Neurosci. 16:951718. 

DOI: 10.3389/fncom.2022.951718

目录大纲：

Research background

Object of study

Computational vision

Color extraction andanalysis methods

Foundation ofarchitectural colorsystem

Street color extraction——Acombination of old and new methods

Color analysis method——Quantitative statistics

Analysis of architectural color

Classification of architectural colors

Color sequence ofstreet building facades

Visual hierarchy of street architectura colors

Define the visualhierarchy of colors

Visual hierarchy analysis of color

Conclusion

Data availability

statement

Ethics statement

Author contributions

Conflict of interest

Publisher’s note

References

论文插图：

Figure 1. The post office of the Macao special administrative.

Figure 2. Largo do Senado.

Figure 3. Color card selection and computer vision recognition of architectural color analysis example.

Figure 4. The statistical table of“inherent color”of buildings based on the CCBC color card.

Figure 5. Two facades of Avenida de Almeida Ribeiro, Macau.

Figure 6. HSV color information analysis diagram.

Figure 7. Statistical table of building“environmental color”based on computer vision analysis.

Figure 8. Analysis of the changing trend of building type and facade color lightness and saturation.

Figure 9. The range of color discrimination of human visual field (vertical direction).

Figure 10. The range of color discrimination of human visual field (horizontal direction).

Figure 11. Analysis of Architectural Color Hierarchy perception of Avenida de Almeida Ribeiro in Macao.

Figure 12. Statistical table of spatial color levels and colors of 14 observation points in two directions of the street.

Figure 13. Space color perception area and trend of observation points.