Restoring ancient civilizations with “Herit-Materials”: Technological advances in its studies

Ma, Xiao; Li, Weidong; Han, Jiahuai; Huang, Xiao; Luo, Hongjie

doi:10.1007/s11431-023-2423-4

Cited by 2 publications

(1 citation statement)

References 135 publications

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“…As a part of cultural heritage, ancient buildings carry historical memories and people's emotions [1,2], and have high artistic and scientific research value [3,4]. However, being subject to the erosive effects of human activities and the natural environment, the appearance and texture of these ancient buildings have gradually deteriorated and faded, and some of them have also suffered structural damage for various historical reasons [5][6][7]. Therefore, there is an increasingly urgent need to preserve and restore ancient buildings.…”

Section: Introductionmentioning

confidence: 99%

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

Gong,

Zeng,

Liu

2024

Buildings

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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.

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Section: Introductionmentioning

confidence: 99%

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

Gong,

Zeng,

Liu

2024

Buildings

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Ancient ceramics restoration method based on image processing texture stitching

Zheng,

Yang,

Yang

et al. 2024

Herit Sci

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This study addresses the issue of the existence of a considerable number of ancient ceramic fragments within the gene pool of ancient ceramics in Jingdezhen, as well as the limited efficacy of manual restoration techniques. To this end, an ancient ceramic restoration method based on the stitching of ancient ceramic textures through image processing is proposed. By employing the optimal single responsiveness matrix and state transfer equation, coupled with a random sampling strategy to ascertain the precise matching points and a consistency checking mechanism to preclude erroneous matching, the optimal single responsiveness matrix is devised to meticulously transform and stitch ancient ceramic textures. The dynamic programming idea is employed to identify the optimal stitching path, thereby enhancing the quality of the stitching and facilitating the precise, seamless, and natural integration of the ancient ceramic texture. The average peak signal-to-noise ratio of the stitched image of ancient ceramics is 58.7554, and the mean square error is 0.0866, which demonstrates the efficacy of image processing technology in the restoration of ancient ceramics and facilitates the intelligent advancement of cultural protection.

show abstract

Restoring ancient civilizations with “Herit-Materials”: Technological advances in its studies

Cited by 2 publications

References 135 publications

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

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

Ancient ceramics restoration method based on image processing texture stitching

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