Parameter-Space Exploration for Computed Tomography Image Analysis Algorithms

Bernhard Fröhler, Christoph Heinzl, Johann Kastner, Torsten Möller

Research output: Chapter in Book/Report/Conference proceedingsConference contribution


We present a tool which supports computed tomography specialists in exploring the parameter and result space of volume segmentation pipelines. In a preprocessing step, the user samples the parameter space of a number of pipelines to be analysed. Our sampling tool supports arbitrary pipelines that can be parametrized via the command line. The results from sampling the parameter spaces of these pipelines are clustered by image similarity. The user can then explore the space of possible results in an interactive visualization tool. This visualization tool highlights the variation resulting from different parametrizations and pipelines, and allows exploring the influence of each parameter. We evaluate our tool on the multimodal segmentation of a carbon-fiber-reinforced polymer specimen with impact damage, scanned with a Talbot-Lau grating interferometer computed tomography device.
Original languageEnglish
Title of host publicationProceedings of the 7th Conference on Industrial Computed Tomography, Leuven, Belgium (iCT 2017)
Publication statusPublished - 2017
EventConference on Industrial Computed Tomography 2017 (iCT2017) - Leuven, Belgium
Duration: 6 Feb 20179 Feb 2017


ConferenceConference on Industrial Computed Tomography 2017 (iCT2017)
Internet address


  • image processing
  • parameter space exploration
  • Visualization
  • multimodal segmentation
  • Visual Computing
  • Visual Analysis


Dive into the research topics of 'Parameter-Space Exploration for Computed Tomography Image Analysis Algorithms'. Together they form a unique fingerprint.

Cite this