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-CT) for finite e...

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Detalles Bibliográficos
Autores principales: Sinchuk, Yuriy, Kibleur, Pierre, Aelterman, Jan, Boone, Matthieu N., Van Paepegem, Wim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079634/
https://www.ncbi.nlm.nih.gov/pubmed/32093177
http://dx.doi.org/10.3390/ma13040936

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079634/
https://www.ncbi.nlm.nih.gov/pubmed/32093177
http://dx.doi.org/10.3390/ma13040936

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