Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres
- Author(s)
- Bernhard Wolfgang Fröhler, Tim Elberfeld, Torsten Möller, Hans-Christian Hege, Jan de Beenhouwer, Jan Sijbers, Johann Kastner, Christoph Heinzl
- Abstract
We present visual methods for the analysis and comparison of the results of curved fibre reconstruction algorithms, i.e., of algorithms extracting characteristics of curved fibres from X-ray computed tomography scans. In this work, we extend previous methods for the analysis and comparison of results of different fibre reconstruction algorithms or parametrisations to the analysis of curved fibres. We propose fibre dissimilarity measures for such curved fibres and apply these to compare multiple results to a specified reference. We further propose visualisation methods to analyse differences between multiple results quantitatively and qualitatively. In two case studies, we show that the presented methods provide valuable insights for advancing and parametrising fibre reconstruction algorithms, and support in improving their results in characterising curved fibres.
- Organisation(s)
- Research Group Visualization and Data Analysis, Research Network Data Science
- External organisation(s)
- Fachhochschule Oberösterreich, University of Antwerp, Konrad-Zuse-Zentrum für Informationstechnik (ZIB)
- Journal
- Nondestructive Testing and Evaluation
- Volume
- 35
- Pages
- 328-341
- No. of pages
- 14
- ISSN
- 0278-0895
- DOI
- https://doi.org/10.1080/10589759.2020.1774583
- Publication date
- 01-2020
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 102037 Visualisation
- Keywords
- ASJC Scopus subject areas
- Mechanics of Materials, Mechanical Engineering, Physics and Astronomy(all), Materials Science(all)
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/analysis-and-comparison-of-algorithms-for-the-tomographic-reconstruction-of-curved-fibres(2d684a66-bc90-4544-a9d3-8aeb6a015700).html