Defect Change Detection in Masonry Structures Using Image-Based 3D Photogrammetry

Masonry structures are deteriorating due to environmental and man-made factors, which cause damages such as cracks in the structures. Periodic inspection is required to determine if cracks have changed in appearance over time. In this paper, an image-based system is proposed to detect changes in cra...

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Main Authors: Chaiyasarn, K., Buatik, A., Mohamad, H., Zhou, M., Poovarodom, N.
Format: Article
Published: American Society of Civil Engineers (ASCE) 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37375/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165493879&doi=10.1061%2fJAEIED.AEENG-1446&partnerID=40&md5=e3a2bc12e33982f5bf7a368fa5e16bc9
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spelling oai:scholars.utp.edu.my:373752023-10-04T11:26:28Z http://scholars.utp.edu.my/id/eprint/37375/ Defect Change Detection in Masonry Structures Using Image-Based 3D Photogrammetry Chaiyasarn, K. Buatik, A. Mohamad, H. Zhou, M. Poovarodom, N. Masonry structures are deteriorating due to environmental and man-made factors, which cause damages such as cracks in the structures. Periodic inspection is required to determine if cracks have changed in appearance over time. In this paper, an image-based system is proposed to detect changes in cracks on the surface of a masonry structure. The system can detect changes in images taken from different viewpoints. In the proposed method, an image-based 3D modeling technique is applied to rectify images taken from different viewpoints via an image synthesis technique. The system deploys a drone to collect images to create a realistic 3D surface model and camera calibration to obtain a reference model. Queried images around the damaged regions are taken at a later time, in which a 3D model from this region is reconstructed and registered onto the reference 3D model. The queried and reference images are synthesized via a 3D model and compared by a threshold-based algorithm to detect changes between the images. Different methods of image synthesis were compared to find the most accurate change masks. It was shown that the proposed system can rectify and detect changes in images accurately, even though images are from different viewpoints and a complex surface. © 2023 This work is made available under the terms of the Creative Commons Attribution 4.0 International license,. American Society of Civil Engineers (ASCE) 2023 Article NonPeerReviewed Chaiyasarn, K. and Buatik, A. and Mohamad, H. and Zhou, M. and Poovarodom, N. (2023) Defect Change Detection in Masonry Structures Using Image-Based 3D Photogrammetry. Journal of Architectural Engineering, 29 (3). ISSN 10760431 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165493879&doi=10.1061%2fJAEIED.AEENG-1446&partnerID=40&md5=e3a2bc12e33982f5bf7a368fa5e16bc9 10.1061/JAEIED.AEENG-1446 10.1061/JAEIED.AEENG-1446 10.1061/JAEIED.AEENG-1446
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Masonry structures are deteriorating due to environmental and man-made factors, which cause damages such as cracks in the structures. Periodic inspection is required to determine if cracks have changed in appearance over time. In this paper, an image-based system is proposed to detect changes in cracks on the surface of a masonry structure. The system can detect changes in images taken from different viewpoints. In the proposed method, an image-based 3D modeling technique is applied to rectify images taken from different viewpoints via an image synthesis technique. The system deploys a drone to collect images to create a realistic 3D surface model and camera calibration to obtain a reference model. Queried images around the damaged regions are taken at a later time, in which a 3D model from this region is reconstructed and registered onto the reference 3D model. The queried and reference images are synthesized via a 3D model and compared by a threshold-based algorithm to detect changes between the images. Different methods of image synthesis were compared to find the most accurate change masks. It was shown that the proposed system can rectify and detect changes in images accurately, even though images are from different viewpoints and a complex surface. © 2023 This work is made available under the terms of the Creative Commons Attribution 4.0 International license,.
format Article
author Chaiyasarn, K.
Buatik, A.
Mohamad, H.
Zhou, M.
Poovarodom, N.
spellingShingle Chaiyasarn, K.
Buatik, A.
Mohamad, H.
Zhou, M.
Poovarodom, N.
Defect Change Detection in Masonry Structures Using Image-Based 3D Photogrammetry
author_facet Chaiyasarn, K.
Buatik, A.
Mohamad, H.
Zhou, M.
Poovarodom, N.
author_sort Chaiyasarn, K.
title Defect Change Detection in Masonry Structures Using Image-Based 3D Photogrammetry
title_short Defect Change Detection in Masonry Structures Using Image-Based 3D Photogrammetry
title_full Defect Change Detection in Masonry Structures Using Image-Based 3D Photogrammetry
title_fullStr Defect Change Detection in Masonry Structures Using Image-Based 3D Photogrammetry
title_full_unstemmed Defect Change Detection in Masonry Structures Using Image-Based 3D Photogrammetry
title_sort defect change detection in masonry structures using image-based 3d photogrammetry
publisher American Society of Civil Engineers (ASCE)
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37375/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165493879&doi=10.1061%2fJAEIED.AEENG-1446&partnerID=40&md5=e3a2bc12e33982f5bf7a368fa5e16bc9
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score 13.222552