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
13
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
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