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A tool for the visual analysis and processing of volumetric datasets, with a focus on industrial computed tomography.

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open_iA

A tool for the visual analysis and processing of volumetric datasets, with a focus on industrial computed tomography datasets.

General Information

How to Cite

If you use open_iA for your research, please cite our journal article: status

  • Bibtex:

    @Article{Froehler:2019:JOSS,
      title   = {{open\_iA}: A tool for processing and visual analysis
                 of industrial computed tomography datasets},
      author  = {Bernhard Fr{\"o}hler and Johannes Weissenb{\"o}ck and
                 Marcel Schiwarth and Johann Kastner and Christoph Heinzl},
      journal = {Journal of Open Source Software},
      volume  = {4},
      number  = {35},
      year    = {2019},
      pages   = {1185},
      doi     = {10.21105/joss.01185}
    }
    
  • B. Fröhler, J. Weissenböck, M. Schiwarth, J. Kastner, C. Heinzl, open_iA: A tool for processing and visual analysis of industrial computed tomography datasets, Journal of Open Source Software, 4 (35), 1185, 2019, doi: 10.21105/joss.01185.

If you want to refer to the software directly, you can use the zenodo DOI; use doi: 10.5281/zenodo.2591998, which always refers to the latest release on github. You can also cite a specific release by picking the respective DOI from the list visible after following that same link).

Contributors

Over the years, many people have contributed to open_iA; here is a list:

  • Christoph Heinzl
  • Kana Arunachalam Kannappan
  • Artem Amirkhanov
  • Weimin Li
  • Andreas Reh
  • Aleksander Amirkhanov
  • Mustafa Arikan
  • Michael Reiter
  • Johannes Weissenböck
  • Bernhard Fröhler
  • Helmut Zauner
  • Klara Brandstätter
  • Seid Halilovic
  • Lukas da Cunha Melo
  • Marcel Schiwarth
  • Alexander Gall
  • Anja Heim
  • Patrick Weinberger

If you think you should be on this list but aren't yet, please contact us!

Contact

bernhard.froehler@fh-wels.at / Christoph.Heinzl@uni-passau.de

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A tool for the visual analysis and processing of volumetric datasets, with a focus on industrial computed tomography.

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