INSEGT FIBRE: A POWERFUL SEGMENTATION TOOL FOR QUANTIFYING FIBRE ARCHITECTURE IN COMPOSITES — ICTMS Committee Dep of Applied Maths Australian National University
  1. Schedule
  2. Theme 2: Automated methods for volume segmentation/analysis, e.g., machine learning
  3. INSEGT FIBRE: A POWERFUL SEGMENTATION TOOL FOR QUANTIFYING FIBRE ARCHITECTURE IN COMPOSITES

INSEGT FIBRE: A POWERFUL SEGMENTATION TOOL FOR QUANTIFYING FIBRE ARCHITECTURE IN COMPOSITES (44)

Monica J Emerson 1 , Kristine M Jespersen 2 , Ying Wang 3 , Philip J Withers 3 , Vedrana A Dahl 1 , Knut Conradsen 1 , Lars P Mikkelsen 4 , Anders B Dahl 1
  1. Department of Applied Mathematics and Computer Science , Technical University of Denmark, Kongengs Lyngby, Denmark
  2. Kanagawa Institute of Industrial Science and Technology, Kanagawa, Japan
  3. Henry Moseley X-ray Imaging Facility, School of Materials, The University of Manchester, Manchester, United Kingdom
  4. Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark

Insegt Fibreis 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 opportunitiesfor micro-structural characterisation of fibre-reinforced polymers. The recent user-friendly version of the robustfibre-detection algorithm makes image-based characterisation of fibrous materials simpler and more accessible.

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