A crack detection and quantification method using matched filter and photograph reconstruction

A crack detection and quantification method using matched filter and photograph reconstruction

Abstract Crack detection is a critical task for bridge maintenance and management. While popular deep learning algorithms have shown promise, their reliance on large, high-quality training datasets, which are often unavailable in engineering practice, limits their applicability. By contrast, traditi...

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Bibliographic Details
Main Authors: Liu Zhen-liang, Zhou An, Ran Xin-ru, Wu Yun-peng, Zhao Wei-gang, Zhang Hao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Bridge inspection
Crack detection
UAV vision
Matched filter
Skeleton extraction
3D model reconstruction
Online Access:https://doi.org/10.1038/s41598-025-08280-z
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https://doi.org/10.1038/s41598-025-08280-z

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