Image classification for sub-surface crack identification in concrete dam based on borehole CCTV images using deep dense hybrid model

Q Dai, M Ishfaque, SUR Khan, YL Luo, Y Lei… - … Research and Risk …, 2024 - Springer
The research investigates the significance of identifying structure discontinuities, such as
cracks, in concrete dams to ensure dam safety and stability. A novel automatic image …

Road surface crack detection method based on improved YOLOv5 and vehicle-mounted images

H Hu, Z Li, Z He, L Wang, S Cao, W Du - Measurement, 2024 - Elsevier
Road surface crack detection methods using vehicle-mounted images have gained
substantial attention recently. Notably, YOLO-based techniques have exhibited effectiveness …

Vision based defect detection technologies in civil structures: a review study

X Chen, Y Ma, SH Lv - Journal of Optics, 2024 - Springer
Computer vision has many applications in smart cities. In smart cities, applying recent vision-
based technologies have been explored by researchers in civil structures. The research …

Method for concrete structure analysis by microscopy of hardened cement paste and crack segmentation using a convolutional neural network

AN Beskopylny, EM Shcherban', SA Stel'makh… - Journal of Composites …, 2023 - mdpi.com
In recent years, the trend of applying intelligent technologies at all stages of construction has
become increasingly popular. Particular attention is paid to computer vision methods for …

Automatic quantification of concrete cracks via multistage image filtration and trajectory-based local binarization

TT Yalew, KS Kim - Journal of Building Engineering, 2023 - Elsevier
Ensuring the structural integrity of civil infrastructure and maintaining public safety
necessitates accurate and reliable periodic inspection of cracks on concrete surfaces. Image …

Recognition and quantification of apparent damage to concrete structure based on computer vision

J Liu, H Sun, H Liu, Q Yue, Z Xu, Y Jia, S Wang - Measurement, 2025 - Elsevier
To solve the problems of poor recognition of apparent concrete damage and the difficulty of
efficient quantitative characterization of the damage parameters, this study proposes a …

A Novel Model for Instance Segmentation and Quantification of Bridge Surface Cracks—The YOLOv8-AFPN-MPD-IoU

C Xiong, T Zayed, X Jiang, G Alfalah, EM Abelkader - Sensors, 2024 - mdpi.com
Surface cracks are alluded to as one of the early signs of potential damage to infrastructures.
In the same vein, their detection is an imperative task to preserve the structural health and …

Bayesian-optimized unsupervised semantic segmentation model for structural crack detection

Q Sun, R Zheng, B Xu - Advances in Structural Engineering, 2024 - journals.sagepub.com
To reduce the reliance of existing mainstream vision-based crack detection algorithms on
annotated datasets, this paper presents an unsupervised semantic segmentation-based …

Deep learning-integrated electromagnetic imaging for evaluating reinforced concrete structures in water-contact scenarios

A Putranto, TH Lin, BX Huang - Automation in Construction, 2024 - Elsevier
Assessing the resilience of overall reinforced concrete (RC) structures against micro-and
macrocracks, especially in water-contact scenarios, poses a significant challenge due to the …

Deep learning-based 3D digital damage map of vertical-type tunnels using unmanned fusion data scanning

K Jang, S Park, H Jung, H Yoo, YK An - Automation in Construction, 2024 - Elsevier
Expert-dependent visual inspection of vertical-type tunnels is often not only dangerous for
workers, but also unreliable of the inspection results. To address the technical issues, a …