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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 res...

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Detalles Bibliográficos
Autores principales: Yan, Lina, Li, Qian, Zhang, Yi, Zhu, Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524187/
https://www.ncbi.nlm.nih.gov/pubmed/36185710
http://dx.doi.org/10.3389/fncom.2022.951718
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author Yan, Lina
Li, Qian
Zhang, Yi
Zhu, Chun
author_facet Yan, Lina
Li, Qian
Zhang, Yi
Zhu, Chun
author_sort Yan, Lina
collection PubMed
description 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.
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spelling pubmed-95241872022-10-01 Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective Yan, Lina Li, Qian Zhang, Yi Zhu, Chun Front Comput Neurosci Neuroscience 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. Frontiers Media S.A. 2022-09-16 /pmc/articles/PMC9524187/ /pubmed/36185710 http://dx.doi.org/10.3389/fncom.2022.951718 Text en Copyright © 2022 Yan, Li, Zhang and Zhu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Yan, Lina
Li, Qian
Zhang, Yi
Zhu, Chun
Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective
title Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective
title_full Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective
title_fullStr Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective
title_full_unstemmed Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective
title_short Computer vision quantization research on the architectural color of Avenida de Almeida Ribeiro in Macau based on the human eye perspective
title_sort computer vision quantization research on the architectural color of avenida de almeida ribeiro in macau based on the human eye perspective
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524187/
https://www.ncbi.nlm.nih.gov/pubmed/36185710
http://dx.doi.org/10.3389/fncom.2022.951718
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