The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/14412923

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

Software

• Other Technology

dlr, fiber placement, inspection

BSD-3-Clause

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

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Sebastian Meister , Mahdieu Wermes

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"

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

4TU.ResearchData

Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process

• German Aerospace Center core funding

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