Code to paper: Review of image segmentation techniques for the layup defect detection in the Automated Fiber Placement process

DOI:10.4121/14412923.v1
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DOI: 10.4121/14412923

Datacite citation style

Sebastian Meister; Mahdieu Wermes (2021): Code to paper: Review of image segmentation techniques for the layup defect detection in the Automated Fiber Placement process. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/14412923.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Software

This code was used to generate the results for the paper
"Review of image segmentation techniques for the layup defect
detection in the Automated Fiber Placement process"

History

  • 2021-05-11 first online, published, posted

Publisher

4TU.ResearchData

Funding

  • German Aerospace Center core funding

Organizations

TU Delft, Faculty of Aerospace Engineering, Department of Aerospace Structures & Materials;
German Aerospace Center (DLR), Center for Lightweight Production Technology (ZLP)

DATA

Files (6)