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

Monica Jane Emerson; Kristine M. Jespersen; Ying  Wang; Philip J. Withers; Vedrana Andersen Dahl; Knut Conradsen; Lars Pilgaard Mikkelsen; Anders Bjorholm Dahl

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

Monica Jane Emerson, Kristine M. Jespersen, Ying Wang, Philip J. Withers, Vedrana Andersen Dahl, Knut Conradsen, Lars Pilgaard Mikkelsen, Anders Bjorholm Dahl

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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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 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	http://ictms2019.org/

Keywords

X-ray computed tomography
Image segmentation
Fibre tracking
Fibre orientations

Access to Document

ICTMS Abstract 2019 monjFinal published version, 3.82 MB

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Cite this

@inproceedings{ac3583dd0e3741b5b19f8f7fd904c34e,

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",

note = "2019 International Conference on Tomography of Materials & Structures, ICTMS 2019 ; Conference date: 22-07-2019 Through 26-07-2019",

url = "http://ictms2019.org/",

}

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 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

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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

T2 - 2019 International Conference on Tomography of Materials & Structures

Y2 - 22 July 2019 through 26 July 2019

ER -