Insegt Fibre: A Powerful Segmentation Tool for Quantifying Fibre Architecture in Composites

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Abstract

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.
Original languageEnglish
Title of host publicationProceedings of 2019 International Conference on Tomography of Materials & Structures
Number of pages2
Publication date2019
Publication statusPublished - 2019
Event2019 International Conference on Tomography of Materials & Structures - Pullman Cairns International, Cairns, Australia
Duration: 22 Jul 201926 Jul 2019
http://ictms2019.org/

Conference

Conference2019 International Conference on Tomography of Materials & Structures
LocationPullman Cairns International
CountryAustralia
CityCairns
Period22/07/201926/07/2019
Internet address

Keywords

  • X-ray computed tomography
  • Image segmentation
  • Fibre tracking
  • Fibre orientations

Cite this

Emerson, M. J., Jespersen, K. M., Wang, Y., Withers, P. J., Dahl, V. A., Conradsen, K., ... Dahl, A. B. (2019). Insegt Fibre: A Powerful Segmentation Tool for Quantifying Fibre Architecture in Composites. In Proceedings of 2019 International Conference on Tomography of Materials & Structures
Emerson, Monica Jane ; Jespersen, Kristine M. ; Wang, Ying ; Withers, Philip J. ; Dahl, Vedrana Andersen ; Conradsen, Knut ; Mikkelsen, Lars Pilgaard ; Dahl, Anders Bjorholm. / Insegt Fibre: A Powerful Segmentation Tool for Quantifying Fibre Architecture in Composites. Proceedings of 2019 International Conference on Tomography of Materials & Structures. 2019.
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title = "Insegt Fibre: A Powerful Segmentation Tool for Quantifying Fibre Architecture in Composites",
abstract = "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.",
keywords = "X-ray computed tomography, Image segmentation, Fibre tracking, Fibre orientations",
author = "Emerson, {Monica Jane} and Jespersen, {Kristine M.} and Ying Wang and Withers, {Philip J.} and Dahl, {Vedrana Andersen} and Knut Conradsen and Mikkelsen, {Lars Pilgaard} and Dahl, {Anders Bjorholm}",
year = "2019",
language = "English",
booktitle = "Proceedings of 2019 International Conference on Tomography of Materials & Structures",

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Emerson, MJ, Jespersen, KM, Wang, Y, Withers, PJ, Dahl, VA, Conradsen, K, Mikkelsen, LP & Dahl, AB 2019, Insegt Fibre: A Powerful Segmentation Tool for Quantifying Fibre Architecture in Composites. in Proceedings of 2019 International Conference on Tomography of Materials & Structures. 2019 International Conference on Tomography of Materials & Structures, Cairns, Australia, 22/07/2019.

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 proceedingArticle in proceedingsResearchpeer-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 -

Emerson MJ, Jespersen KM, Wang Y, Withers PJ, Dahl VA, Conradsen K et al. Insegt Fibre: A Powerful Segmentation Tool for Quantifying Fibre Architecture in Composites. In Proceedings of 2019 International Conference on Tomography of Materials & Structures. 2019