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

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

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.

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Authors
  • Fröhler, Bernhard
  • Elberfeld, Tim
  • Möller, Torsten
  • Hege, Hans-Christian
  • Weissenböck, Johannes
  • De Beenhouwer, Jan
  • Sijbers, Jan
  • Kastner, Johann
  • Heinzl, Christoph
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Shortfacts
Category
Journal Paper
Divisions
Visualization and Data Analysis
Journal or Publication Title
Eurographics + EG EuroVis // Computer Graphics Forum: (Journal of the Eurographics Association)
ISSN
1467-8659
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Page Range
pp. 273-283
Number
3
Volume
38
Date
2019
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