@article{e5c8d251324c4a6cb83c49a5ebd2497f,
title = "Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres",
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.",
keywords = "curved fibres, fibre reconstruction, fibre visualisation, Fibre-reinforced polymers, visual analysis",
author = "Bernhard Fr{\"o}hler and Tim Elberfeld and Torsten M{\"o}ller and Hege, {Hans Christian} and {De Beenhouwer}, Jan and Jan Sijbers and Johann Kastner and Christoph Heinzl",
note = "Funding Information: The research leading to these results has received funding from the Research Foundation Flanders (FWO) and the Austrian Science Fund (FWF) under the grant numbers G0F9117N and I3261-N36 {\textquoteleft}Quantitative X-ray tomography of advanced polymer composites{\textquoteright} respectively. This work was also supported by the Comet-Project {\textquoteleft}Photonic Sensing for Smarter Processes{\textquoteright} (PSSP), the COMET programme of the Austria Research Promotion Agency (FFG). We want to thank Julia Maurer and our reviewer for their highly valuable feedback on our analysis methods and case studies. Publisher Copyright: {\textcopyright} 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.",
year = "2020",
month = jul,
day = "2",
doi = "10.1080/10589759.2020.1774583",
language = "English",
volume = "35",
pages = "328--341",
journal = "Nondestructive Testing and Evaluation",
issn = "1058-9759",
publisher = "Taylor and Francis Ltd.",
number = "3",
}
