What's cracking? A review and analysis of deep learning methods for structural crack segmentation, detection and quantification
Surface cracks are a very common indicator of potential structural faults. Their early
detection and monitoring is an important factor in structural health monitoring. Left untreated …
detection and monitoring is an important factor in structural health monitoring. Left untreated …
Optimized deep encoder-decoder methods for crack segmentation
J König, MD Jenkins, M Mannion, P Barrie… - Digital Signal …, 2021 - Elsevier
Surface crack segmentation poses a challenging computer vision task as background,
shape, color and size of cracks vary. In this work we propose optimized deep encoder …
shape, color and size of cracks vary. In this work we propose optimized deep encoder …
Pixel-level tunnel crack segmentation using a weakly supervised annotation approach
Automatic crack detection plays an essential role in ensuring the safe operation of tunnels,
which is also challenging work in reality. In this paper, an innovative framework, which …
which is also challenging work in reality. In this paper, an innovative framework, which …
Unsupervised domain adaptation-based crack segmentation using transformer network
Surface cracks are a common structural defect. The intelligent inspection of these defects
through computer vision and deep learning is of paramount importance for early …
through computer vision and deep learning is of paramount importance for early …
Weakly-supervised surface crack segmentation by generating pseudo-labels using localization with a classifier and thresholding
J König, MD Jenkins, M Mannion… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Surface cracks are a common sight on public infrastructure nowadays. Recent work has
been addressing this problem by supporting structural maintenance measures using …
been addressing this problem by supporting structural maintenance measures using …
Pixel-wise detection algorithm for crack structural reconstruction based on rock CT images
H Zhang, G Yang, H Li, W Du, J Wang - Automation in Construction, 2023 - Elsevier
This paper describes a pixel-wise detection algorithm to reconstruct rock cracks using CT
images. Through reviewing the shortcomings of previous studies, a pixel-level labeled …
images. Through reviewing the shortcomings of previous studies, a pixel-level labeled …
Detection and classification of cracks and potholes in road images using texture descriptors
AMR Fernandes, MJ Cassaniga… - Journal of Intelligent …, 2023 - content.iospress.com
Traffic safety is directly affected by poor road conditions. Automating the detection of road
defects allows improvements in the maintenance process. The identification of defects such …
defects allows improvements in the maintenance process. The identification of defects such …
Crack detection as a weakly-supervised problem: Towards achieving less annotation-intensive crack detectors
Y Inoue, H Nagayoshi - 2020 25th International Conference on …, 2021 - ieeexplore.ieee.org
Automatic crack detection is a critical task that has the potential to drastically reduce labor-
intensive building and road inspections currently being done manually. Recent studies in …
intensive building and road inspections currently being done manually. Recent studies in …
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges
Automating the current bridge visual inspection practices using drones and image
processing techniques is a prominent way to make these inspections more effective, robust …
processing techniques is a prominent way to make these inspections more effective, robust …
Weakly-supervised crack detection
Y Inoue, H Nagayoshi - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Pixel-level crack segmentation is widely studied due to its high impact on building and road
inspections. While recent studies have made significant improvements in accuracy, they …
inspections. While recent studies have made significant improvements in accuracy, they …