Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2019 International Conference on Tomography of Materials & Structures |
| Number of pages | 2 |
| Publication date | 2019 |
| Publication status | Published - 2019 |
| Event | 2019 International Conference on Tomography of Materials & Structures - Pullman Cairns International, Cairns, Australia Duration: 22 Jul 2019 → 26 Jul 2019 http://ictms2019.org/ |
Conference
| Conference | 2019 International Conference on Tomography of Materials & Structures |
|---|---|
| Location | Pullman Cairns International |
| Country | Australia |
| City | Cairns |
| Period | 22/07/2019 → 26/07/2019 |
| Internet address |
Keywords
- X-ray computed tomography
- Image segmentation
- Fibre tracking
- Fibre orientations
Cite this
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Insegt Fibre: A Powerful Segmentation Tool for Quantifying Fibre Architecture in Composites. / Emerson, Monica Jane; Jespersen, Kristine M.; Wang, Ying ; Withers, Philip J.; Dahl, Vedrana Andersen; Conradsen, Knut; Mikkelsen, Lars Pilgaard; Dahl, Anders Bjorholm.
Proceedings of 2019 International Conference on Tomography of Materials & Structures. 2019.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - Insegt Fibre: A Powerful Segmentation Tool for Quantifying Fibre Architecture in Composites
AU - Emerson, Monica Jane
AU - Jespersen, Kristine M.
AU - Wang, Ying
AU - Withers, Philip J.
AU - Dahl, Vedrana Andersen
AU - Conradsen, Knut
AU - Mikkelsen, Lars Pilgaard
AU - Dahl, Anders Bjorholm
PY - 2019
Y1 - 2019
N2 - Insegt Fibre is a tool for volumetric fibre segmentation, that is appropriate for densely packed fibres. The robustness to image quality of the underlying dictionary-based algorithm has opened up new opportunities for micro-structural characterisation of fibre-reinforced polymers. The recent user-friendly version of the robust fibre-detection algorithm makes image-based characterisation of fibrous materials simpler and more accessible.
AB - Insegt Fibre is a tool for volumetric fibre segmentation, that is appropriate for densely packed fibres. The robustness to image quality of the underlying dictionary-based algorithm has opened up new opportunities for micro-structural characterisation of fibre-reinforced polymers. The recent user-friendly version of the robust fibre-detection algorithm makes image-based characterisation of fibrous materials simpler and more accessible.
KW - X-ray computed tomography
KW - Image segmentation
KW - Fibre tracking
KW - Fibre orientations
M3 - Article in proceedings
BT - Proceedings of 2019 International Conference on Tomography of Materials & Structures
ER -