PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images

Python Submitted 23 February 2019Published 01 May 2019
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Authors

Jeff T. Gostick (0000-0001-7736-7124), Zohaib A. Khan (0000-0003-2115-7798), Thomas G. Tranter (0000-0003-4721-5941), Matthew D.r. Kok (0000-0001-8410-9748), Mehrez Agnaou (0000-0002-6635-080X), Mohammadamin Sadeghi (0000-0002-6756-9117), Rhodri Jervis (0000-0003-2784-7802)

Citation

Gostick et al., (2019). PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images. Journal of Open Source Software, 4(37), 1296, https://doi.org/10.21105/joss.01296

@article{Gostick2019, doi = {10.21105/joss.01296}, url = {https://doi.org/10.21105/joss.01296}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {37}, pages = {1296}, author = {Jeff T. Gostick and Zohaib A. Khan and Thomas G. Tranter and Matthew D.r. Kok and Mehrez Agnaou and Mohammadamin Sadeghi and Rhodri Jervis}, title = {PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images}, journal = {Journal of Open Source Software} }
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porous media tomography image analysis

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