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Segmentation of Drilled Holes in Textured Wood Panels using..:
, In:
2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
,
Al-Zubi, Muneer
;
Plapper, Peter
- p. 1-4 , 2022
Link:
https://doi.org/10.1109/CIVEMSA53371.2022.9853682
RT T1 <cTitle>2022 IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)</cTitle>: T1 <Title>Segmentation of Drilled Holes in Textured Wood Panels using Deep Learning Framework</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9853682&Exemplar=1&LAN=DE A1 Al-Zubi, Muneer A1 Plapper, Peter YR 2022 SN 2377-9322 K1 Deep learning K1 Training K1 Image segmentation K1 Image color analysis K1 Computational modeling K1 Neural networks K1 Virtual environments K1 Convolutional neural network K1 deep learning K1 drilled holes K1 machine learning K1 segmentation K1 textured wood SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/CIVEMSA53371.2022.9853682 DO https://doi.org/10.1109/CIVEMSA53371.2022.9853682 SF ELIB - SuUB Bremen
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