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文化遗产热成像监测自动化的热原理发展

Development of Thermal Principles for the Automation of the Thermographic Monitoring of Cultural Heritage.

作者信息

Garrido Iván, Lagüela Susana, Sfarra Stefano, Arias Pedro

机构信息

Centro de Investigación en Tecnoloxías, Enerxía e Procesos Industriais (CINTECX), Applied Geotechnologies Research Group, Universidade de Vigo, Campus Universitario de Vigo, As Lagoas, Marcosende, 36310 Vigo, Spain.

Cartographic and Land Engineering Department, Higher Polytechnic School of Ávila, University of Salamanca, Hornos Caleros 50, 05003 Ávila, Spain.

出版信息

Sensors (Basel). 2020 Jun 16;20(12):3392. doi: 10.3390/s20123392.

DOI:10.3390/s20123392
PMID:32560100
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7349171/
Abstract

The continuous deterioration of elements, with high patrimonial value over time, can only be mitigated or annulled through the application of techniques that facilitate the preventative detection of the possible agents of deterioration. InfraRed Thermography (IRT) is one of the most used techniques for this task. However, there are few IRT methodologies, which can automatically monitor the cultural heritage field, and are vitally important in eliminating the subjectivity in interpreting and accelerating the analysis process. In this work, a study is performed on a layer of a mosaic to automatically: (i) Detect the first appearance of the thermal footprint of internal water, (ii) delimit the contours of the thermal footprint of internal water from its first appearance, and (iii) classify between harmful and non-harmful internal water. The study is based on the analysis of the temperature distribution of each thermal image. Five thermal images sequences are acquired during the simulation of different real situations, obtaining a set of promising results for the optimization of the thermographic inspection process, while discussing the following recommended steps to be taken in the study for future researches.

摘要

随着时间的推移,具有高遗产价值的文物要素持续恶化,只有通过应用有助于预防性检测可能的恶化因素的技术,才能减轻或消除这种恶化。红外热成像(IRT)是用于此任务的最常用技术之一。然而,很少有IRT方法能够自动监测文化遗产领域,这对于消除解释过程中的主观性和加速分析过程至关重要。在这项工作中,对一层马赛克进行了研究,以自动:(i)检测内部水热足迹的首次出现,(ii)从其首次出现开始划定内部水热足迹的轮廓,以及(iii)对有害和无害的内部水进行分类。该研究基于对每个热图像温度分布的分析。在模拟不同实际情况的过程中获取了五个热图像序列,在讨论研究中未来研究应采取的以下推荐步骤的同时,为热成像检查过程的优化获得了一组有前景的结果。

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本文引用的文献

1
Medical applications of infrared thermography: A review.红外热成像技术的医学应用:综述
Infrared Phys Technol. 2012 Jul;55(4):221-235. doi: 10.1016/j.infrared.2012.03.007. Epub 2012 Apr 13.
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Use of Savitzky-Golay Filter for Performances Improvement of SHM Systems Based on Neural Networks and Distributed PZT Sensors.基于神经网络和分布式压电陶瓷传感器的结构健康监测系统中使用Savitzky-Golay滤波器提升性能
Sensors (Basel). 2018 Jan 8;18(1):152. doi: 10.3390/s18010152.
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深度学习在文化遗产热成像监测中的应用及自动热图预处理算法的改进。
Sensors (Basel). 2021 Jan 22;21(3):750. doi: 10.3390/s21030750.
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New methodologies for the conservation of cultural heritage: micellar solutions, microemulsions, and hydroxide nanoparticles.文化遗产保护的新方法:胶束溶液、微乳液和氢氧化物纳米粒子。
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