Abstract
The modelling of three-dimensional composite carbon fibers-resin materials for a multi-scale use requires the knowledge of the carbon fibers localization and orientation. We propose here a mathematical method exploiting tomographic data to determine carbon localization with a Markov Random Field (MRF) segmentation, identify carbon straight cylinders, and accurately determine fibers orientation.
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© 2014 TMS (The Minerals, Metals & Materials Society)
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Walbron, A., Chupin, S., Rochais, D., Abraham, R., Bergounioux, M. (2014). 3D Image Segmentation and Cylinder Recognition for Composite Materials. In: Bernard, D., Buffière, JY., Pollock, T., Poulsen, H.F., Rollett, A., Uchic, M. (eds) Proceedings of the 2nd International Congress on 3D Materials Science. Springer, Cham. https://doi.org/10.1007/978-3-319-48123-4_8
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DOI: https://doi.org/10.1007/978-3-319-48123-4_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48595-9
Online ISBN: 978-3-319-48123-4
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