Minimal Paths for 3D Crack Detectionin Concrete
Franziska Müsebeck, Ali Moghiseh, Claudia Redenbach, Katja Schladitz
Kapitel/Beitrag aus dem Buch: Heizmann M. & Längle T. 2020. Forum Bildverarbeitung 2020.
Part of
Kapitel/Beitrag aus dem Buch: Heizmann M. & Längle T. 2020. Forum Bildverarbeitung 2020.
Concrete is a commonly used construction material
for buildings, bridges and roads. As safety is very important
in such constructions, the investigation of damage processes
in concrete is a highly relevant topic. For instance, the early
detection of cracks can prevent the collapse of a bridge. Thus,
the necessity of automated crack detection and segmentation
arises. We generalize and modify a 2D method for crack detection
in road pavement images to 3D. It is based on modeling
the image as a graph and searching for minimal paths therein.
The proposed 3D method is evaluated on synthetic crack images
and applied to a 3D computed tomography image of real
concrete.
Müsebeck, F et al. 2020. Minimal Paths for 3D Crack Detectionin Concrete. In: Heizmann M. & Längle T (eds.), Forum Bildverarbeitung 2020. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000124383-12
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Veröffentlicht am 25. November 2020