• Harald Steinlechner
  • Georg Haaser
  • Bernd Oberdorfer
  • Daniel Habe
  • Stefan Maierhofer
  • Michael Schwärzler
  • M.E. Gröller
CT data of industrially produced cast metal parts are often afflicted with artefacts due to complex geometries ill-suited for the scanning process. Simple global threshold-based porosity detection algorithms usually fail to deliver meaningful results. Other adaptive methods can handle image artefacts, but require long preprocessing times. This makes an efficient analysis workflow infeasible. We propose an alternative approach for analyzing and visualizing volume defects in a fully interactive manner, where analyzing volumes becomes more of an interactive exploration instead of time-consuming parameter guessing interrupted by long processing times. Our system is based on a highly efficient GPU implementation of a segmentation algorithm for porosity detection. The runtime is on the order of seconds for a full volume and parametrization is kept simple due to a single threshold parameter. A fully interactive user interface comprised of multiple linked views allows to quickly identify defects of interest, while filtering out artefacts even in noisy areas.
Original languageEnglish
Title of host publication9th Conference on Industrial Computed Tomography, Padova, Italy (iCT 2019)
Number of pages6
Publication statusPublished - 2019
EventiCT 2019: 9th Conference on Industrial Computed Tomography - Padova, Italy
Duration: 13 Feb 201915 Feb 2019
Conference number: 9th


ConferenceiCT 2019

    Research areas

  • CT, GPU, Inclusion Detecion, Interactive Visualization, Visual Analysis, Parallel Coordinates, Volume Rendering

ID: 49599311