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28 July 2023 Concrete structure inspection based on deep learning approaches from visible and radar images
P. Foucher, R. Le, A. Mansouri, X. Dérobert, C. Fauchard
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Proceedings Volume 12749, Sixteenth International Conference on Quality Control by Artificial Vision; 127490C (2023) https://doi.org/10.1117/12.2690477
Event: Sixteenth International Conference on Quality Control by Artificial Vision, 2023, Albi, France
Abstract
In this contribution, we explore a machine learning approach for the concrete structure inspection using both surface and sub-surface imaging. For this purpose, we first propose and evaluate a deep learning based approach for the segmentation of rebar instances from ground penetrating radar images. The performance of a mask-R-CNN-based model show that the average precision is higher than 85% for reinforcement bar segmentation. We also evaluate the generalization capabilities of the model. In a second step, different criteria (reinforcement bars location and their normalized magnitudes) are computed from the extracted mask. These criteria are analysed in relation to the images of the structure surface that had been classified either in a healthy or damaged category (i.e. with cracks).
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P. Foucher, R. Le, A. Mansouri, X. Dérobert, and C. Fauchard "Concrete structure inspection based on deep learning approaches from visible and radar images", Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision, 127490C (28 July 2023); https://doi.org/10.1117/12.2690477
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KEYWORDS
Image segmentation
Deep learning
Inspection
Machine learning
Bridges
Radar
Image processing
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