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Monitoring of historical frescoes by timed infrared imaging analysis

机译:通过定时红外成像分析监测历史壁画

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摘要

The subflorescence and efflorescence phenomena are widely acknowledged as the major causes of permanent damage\udto fresco wall paintings. They are related to the occurrence of cycles of dry/wet conditions inside the walls. Therefore, it is\udessential to identify the presence of water on the decorated surfaces and inside the walls.\udNondestructive testing in industrial applications have confirmed that active infrared thermography with continuous timed\udimages acquisition can improve the outcomes of thermal analysis aimed to moisture identification. In spite of that, in\udcultural heritage investigations these techniques have not been yet used extensively on a regular basis. This paper\udillustrates an application of these principles in order to evaluate the decay of fresco mural paintings in a medieval chapel\udlocated in North−West of Italy. One important feature of this study is the use of a robotic system called aIRview that can\udbe utilized to automatically acquire and process thermal images. Multiple accurate thermal views of the inside walls of the\udbuilding have been produced in a survey that lasted several days. Signal processing algorithms based on Fast Fourier\udTransform analysis have been applied to the acquired data in order to formulate trustworthy hypotheses about the\uddeterioration mechanisms.
机译:亚花序和风化现象被公认为永久损坏壁画的主要原因。它们与壁内干/湿条件循环的发生有关。因此,必须确定装饰表面和墙壁上是否存在水。\ ud工业应用中的无损检测已经证实,具有连续定时\ udimage采集功能的主动红外热成像技术可以改善旨在鉴定水分的热分析结果。尽管如此,在文化遗产调查中,这些技术尚未得到定期的广泛使用。本文\ udillustrat了这些原理的应用,以便评估位于意大利西北部的中世纪教堂\壁画中壁画的衰变。这项研究的一个重要特征是使用了名为aIRview的机器人系统,该系统可以自动获取和处理热图像。持续数天的调查显示,建筑物的内壁有多个准确的热视图。基于Fast Fourier \ udTransform分析的信号处理算法已被应用于所获取的数据,以便对有关\ udde劣化机制的可信假设进行表述。

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