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Quantitative Analysis of Comprehensive Similarity in Restoration of Ancient Building Walls Using Hue–Saturation–Value Color Space and Circular Local Binary Pattern

Author(s): ORCID

ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 5, v. 14
Page(s): 1478
DOI: 10.3390/buildings14051478
Abstract:

Evaluating the effects of wall restoration on ancient buildings has been a difficult task, and it is important that the overall appearance of the restored walls of ancient buildings is similar, harmonious, and uniform. This paper used a hue–saturation–value (HSV) color space and Circular Local Binary Pattern (CLBP) to analyze the comprehensive similarity between a restored wall and the original walls in Qi Li Ancient Town. The results show that the values of the comprehensive similarity calculation of ancient buildings based on the color and texture were consistent with the actual situation. The method is suitable for evaluating the degree of matching between wall repair materials and the appearance of the original wall materials of ancient buildings, and it can also be used to assess the comprehensive similarity between the repair materials and the original building walls before carrying out the wall repair in order to select more suitable materials for wall repair and achieve the best repair effect. And it is flexible and objective compared to human judgement. Through the accurate restoration of ancient buildings, not only can we protect cultural heritage and continue the historical lineage, we can also enhance the aesthetic value of buildings and meet people’s needs for historical and cultural tracing.

Copyright: © 2024 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10788001
  • Published on:
    20/06/2024
  • Last updated on:
    20/06/2024
 
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