Methods for segmenting cracks in 3d images of concrete: A comparison based on semi-synthetic images

•Comparison of eight methods for crack detection in 3d CT concrete images.•Simulation of 3d crack images gives unbiased ground truth for evaluation.•Parameter tuning with respect to different objectives.•Machine learning methods (3d U-net and random forest) perform best among all methods.•Hessian-ba...

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Bibliographic Details

Published in:	Pattern recognition Vol. 129; p. 108747
Main Authors:	Barisin, Tin, Jung, Christian, Müsebeck, Franziska, Redenbach, Claudia, Schladitz, Katja
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2022
Subjects:	3d segmentation Computed tomography Crack detection Deep learning Fractional Brownian surface Machine learning Deep learning Crack detection Computed tomography 3d segmentation Machine learning Fractional Brownian surface
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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