Journal of Open Source Software: open_iA: A tool for processing and visual analysis of industrial computed tomography datasets

open_iA: A tool for processing and visual analysis of industrial computed tomography datasets

Python Submitted 21 December 2018 • Published 21 March 2019
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Editor: @katyhuff (all papers)
Reviewers: @trallard (all reviews), @behollister (all reviews)

Authors

Bernhard Fröhler (0000-0003-1271-0838), Johannes Weissenböck (0000-0001-8062-4590), Marcel Schiwarth (0000-0003-2339-1879), Johann Kastner (0000-0002-3163-0916), Christoph Heinzl (0000-0002-3173-8871)

Citation

Fröhler et al., (2019). open_iA: A tool for processing and visual analysis of industrial computed tomography datasets. Journal of Open Source Software, 4(35), 1185, https://doi.org/10.21105/joss.01185

@article{Fröhler2019, doi = {10.21105/joss.01185}, url = {https://doi.org/10.21105/joss.01185}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {35}, pages = {1185}, author = {Bernhard Fröhler and Johannes Weissenböck and Marcel Schiwarth and Johann Kastner and Christoph Heinzl}, title = {open_iA: A tool for processing and visual analysis of industrial computed tomography datasets}, journal = {Journal of Open Source Software} }
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C++ computed tomography industrial computed tomography image processing volume processing volume visualization visual analytics

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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Journal of Open Source Software is an affiliate of the Open Source Initiative.

Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.

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ISSN 2475-9066