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Engineering-oriented automated crack inspection and maximum-width quantification using MSCrack
DOI:10.1016/j.measurement.2026.123242.png)
Abstract
En 中文
• An image-based workflow is proposed for automated crack-width measurement.
• MSCrack achieves competitive segmentation with only 3.704 M parameters.
• Automated maximum crack-width extraction uses skeleton analysis and EDT..
• Validation on 104 field images yielded an MAE of 0.0081 mm and an MRE of 3.98 %.
• Point-level 2D-3D mapping supports approximate facade crack localization.
Keywords:
Automated crack inspection
Lightweight crack segmentation
Image-derived crack-width measurement
2D–3D crack mapping
Structural condition assessment
Journal
IF:
5.6
Papers:
2.1W
Citations:
5.4W
Organization
Cited Papers
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MEDICAL IMAGE ANALYSIS
IF11.8

