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    A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science

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    Date
    2019
    Author
    Fröhler, Bernhard ORCID
    Elberfeld, Tim ORCID
    Möller, Torsten ORCID
    Hege, Hans-Christian ORCID
    Weissenböck, Johannes ORCID
    De Beenhouwer, Jan ORCID
    Sijbers, Jan ORCID
    Kastner, Johann ORCID
    Heinzl, Christoph ORCID
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    Abstract
    We present visual analysis methods for the evaluation of tomographic fiber reconstruction algorithms by means of analysis, visual debugging and comparison of reconstructed fibers in materials science. The methods are integrated in a tool (FIAKER) that supports the entire workflow. It enables the analysis of various fiber reconstruction algorithms, of differently parameterized fiber reconstruction algorithms and of individual steps in iterative fiber reconstruction algorithms. Insight into the performance of fiber reconstruction algorithms is obtained by a list-based ranking interface. A 3D view offers interactive visualization techniques to gain deeper insight, e.g., into the aggregated quality of the examined fiber reconstruction algorithms and parameterizations. The tool was designed in close collaboration with researchers who work with fiber-reinforced polymers on a daily basis and develop algorithms for tomographic reconstruction and characterization of such materials. We evaluate the tool using synthetic datasets as well as tomograms of real materials. Five case studies certify the usefulness of the tool, showing that it significantly accelerates the analysis and provides valuable insights that make it possible to improve the fiber reconstruction algorithms. The main contribution of the paper is the well-considered combination of methods and their seamless integration into a visual tool that supports the entire workflow. Further findings result from the analysis of (dis-)similarity measures for fibers as well as from the discussion of design decisions. It is also shown that the generality of the analytical methods allows a wider range of applications, such as the application in pore space analysis.
    BibTeX
    @article {10.1111:cgf.13688,
    journal = {Computer Graphics Forum},
    title = {{A Visual Tool for the Analysis of Algorithms for Tomographic Fiber Reconstruction in Materials Science}},
    author = {Fröhler, Bernhard and Elberfeld, Tim and Möller, Torsten and Hege, Hans-Christian and Weissenböck, Johannes and De Beenhouwer, Jan and Sijbers, Jan and Kastner, Johann and Heinzl, Christoph},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13688}
    }
    URI
    https://doi.org/10.1111/cgf.13688
    https://diglib.eg.org:443/handle/10.1111/cgf13688
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    • 38-Issue 3

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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA