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Published in:
2021 | OriginalPaper | Chapter
Image – Based Change Detection in Concrete Beam
Authors : Krisada Chaiyasarn, Apichat Buatik, Kuntapit Jirakasemsuk, Pakkapong Khuangsimma, Suraparb Keawsawasvong
Published in: ICCOEE2020
Publisher: Springer Singapore
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Abstract
Detection of crack change using images requires accurate pre-processing steps including geometrical and photometrical registration. In this paper, a change detection system is proposed to detect changes of cracks in images taken from different viewpoints in concrete structures. The geometrical registration step was done by the image-based 3D photogrammetry technique. With this technique, images taken at different times and viewpoints can be rectified to remove noise that is not real changes. The queried and reference images were then used to detect changes between the images by a simple change detection algorithm. The experiment was conducted on images of a concrete beam sample with various stages of crack development. The results were compared against the real measurements of crack width changes. It was shown that the proposed method provides accurate results in detecting changes in a crack in the sample datasets.