Analysis and comparison of algorithms for the tomographic reconstruction of curved fibres
Source abstract
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.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Computer Graphics and Visualization Techniques · 3D Shape Modeling and Analysis · Digital Image Processing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Research Group Computed Tomography, University of Applied Sciences Upper Austria, Wels, Austria
Data Science @ Uni Vienna, and Faculty of Computer Science, University of Vienna, Vienna, Austria;
Imec-Vision Lab, University of Antwerp, Antwerp, Belgium
Research Group Visual Data Analysis, Zuse Institute Berlin, Berlin, Germany
Funding
FWO · Austrian Science Fund · PSSP · FFG
References (20)
Show source-provided references
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