Variational and Deep Learning Segmentation of Very-Low-Contrast X-ray Computed Tomography Images of Carbon/Epoxy Woven Composites
The purpose of this work is to find an effective image segmentation method for lab-based micro-tomography (µ-CT) data of carbon fiber reinforced polymers (CFRP) with insufficient contrast-to-noise ratio. The segmentation is the first step in creating a realistic geometry (based on µ...
Main Authors: | Yuriy Sinchuk, Pierre Kibleur, Jan Aelterman, Matthieu N. Boone, Wim Van Paepegem |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
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Series: | Materials |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1944/13/4/936 |
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