The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with Shadow

Infrared thermography (IRT) has been widely employed to identify the defects illustrated in building facades. However, the IRT covered with a shadow is hard to be applied to determine the defects shown in the IRT. The study proposed an approach based on the multiplicated model to describe quantitive...

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Main Authors: Pei-Hsun Tsai, Yishuo Huang, Jung-Hsing Tai
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Proceedings
Subjects:
Online Access:https://www.mdpi.com/2504-3900/27/1/3
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author Pei-Hsun Tsai
Yishuo Huang
Jung-Hsing Tai
author_facet Pei-Hsun Tsai
Yishuo Huang
Jung-Hsing Tai
author_sort Pei-Hsun Tsai
collection DOAJ
description Infrared thermography (IRT) has been widely employed to identify the defects illustrated in building facades. However, the IRT covered with a shadow is hard to be applied to determine the defects shown in the IRT. The study proposed an approach based on the multiplicated model to describe quantitively the shadow effects, and the IRT can be segmented into few classes according to the surface temperature information recorded on the IRT by employing a thermal infrared camera. The segmented results were compared with the non-destructive method (acoustic tracing) to verify the correctness and robustness of the approach. From the processed results, the proposed approach did correctly identify the defects illustrated in building facades through the IRTs were covered with shadow.
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spelling doaj.art-ccbc8d0f288f4e918c1a7179afc82e112022-12-22T03:41:46ZengMDPI AGProceedings2504-39002019-09-01271310.3390/proceedings2019027003proceedings2019027003The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with ShadowPei-Hsun Tsai0Yishuo Huang1Jung-Hsing Tai2Department of Construction Engineering, Chaoyang University of Technology, Taichung 41349, TaiwanDepartment of Construction Engineering, Chaoyang University of Technology, Taichung 41349, TaiwanDepartment of Construction Engineering, Chaoyang University of Technology, Taichung 41349, TaiwanInfrared thermography (IRT) has been widely employed to identify the defects illustrated in building facades. However, the IRT covered with a shadow is hard to be applied to determine the defects shown in the IRT. The study proposed an approach based on the multiplicated model to describe quantitively the shadow effects, and the IRT can be segmented into few classes according to the surface temperature information recorded on the IRT by employing a thermal infrared camera. The segmented results were compared with the non-destructive method (acoustic tracing) to verify the correctness and robustness of the approach. From the processed results, the proposed approach did correctly identify the defects illustrated in building facades through the IRTs were covered with shadow.https://www.mdpi.com/2504-3900/27/1/3multiplicated modelidentify defectsimage segmentation
spellingShingle Pei-Hsun Tsai
Yishuo Huang
Jung-Hsing Tai
The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with Shadow
Proceedings
multiplicated model
identify defects
image segmentation
title The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with Shadow
title_full The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with Shadow
title_fullStr The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with Shadow
title_full_unstemmed The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with Shadow
title_short The Feasibility of Identifying Defects Illustrated on Building Facades by Applying Thermal Infrared Images with Shadow
title_sort feasibility of identifying defects illustrated on building facades by applying thermal infrared images with shadow
topic multiplicated model
identify defects
image segmentation
url https://www.mdpi.com/2504-3900/27/1/3
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