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

Meister, Sebastian and Wermes, Mahdieu A. M. and Stüve, Jan and Groves, Roger M. (2021) Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process. Journal of Intelligent Manufacturing. Springer Nature. doi: 10.1007/s10845-021-01774-3. ISSN 0956-5515.

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Official URL: https://link.springer.com/article/10.1007/s10845-021-01774-3


Item URL in elib:https://elib.dlr.de/142242/
Document Type:Article
Title:Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Meister, SebastianSebastian.Meister (at) dlr.dehttps://orcid.org/0000-0002-8193-1143
Wermes, Mahdieu A. M.Mahdieu.Wermes (at) dlr.deUNSPECIFIED
Stüve, JanJan.Stueve (at) dlr.dehttps://orcid.org/0000-0003-1483-2476
Groves, Roger M.R.M.Groves (at) tudelft.nlhttps://orcid.org/0000-0001-9169-9256
Date:17 May 2021
Journal or Publication Title:Journal of Intelligent Manufacturing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1007/s10845-021-01774-3
Editors:
EditorsEmailEditor's ORCID iD
Kusiak, AndrewUNSPECIFIEDUNSPECIFIED
Publisher:Springer Nature
ISSN:0956-5515
Status:Published
Keywords:Image Segmentation,Automated Fiber Placement,Inline Inspection,Adaptive Thresholding,Computer Vision,Laser Line Scan Sensor
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - Production Technologies
Location: Stade
Institutes and Institutions:Institute of Composite Structures and Adaptive Systems > Composite Process Technology
Deposited By: Meister, Sebastian
Deposited On:31 May 2021 11:32
Last Modified:31 May 2021 11:32

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