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PyPore3D : an open source software tool for imaging data processing and analysis of porous and multiphase media [Elektronski vir]Aboulhassan, Amal ...n this work, we propose the software library PyPore3D, an open source solution for data processing of large 3D/4D tomographic data sets. PyPore3D is based on the Pore3D core library, developed thanks ... to the collaboration between Elettra Sincrotrone (Trieste) and the University of Trieste (Italy). The Pore3D core library is built with a distinction between the User Interface and the backend filtering, segmentation, morphological processing, skeletonisation and analysis functions. The current Pore3D version relies on the closed source IDL framework to call the backend functions and enables simple scripting procedures for streamlined data processing. PyPore3D addresses this limitation by proposing a full open source solution which provides Python wrappers to the the Pore3D C library functions. The PyPore3D library allows the users to fully use the Pore3D Core Library as an open source solution under Python and Jupyter Notebooks PyPore3D is both getting rid of all the intrinsic limitations of licensed platforms (e.g., closed source and export restrictions) and adding, when needed, the flexibility of being able to integrate scientific libraries available for Python (SciPy, TensorFlow, etc.)Source: Journal of imaging. - ISSN 2313-433X (Vol. 8, iss. 7, Jul. 2022, str. 1-15)Type of material - e-articlePublish date - 2022Language - englishCOBISS.SI-ID - 121176579
Author
Aboulhassan, Amal |
Brun, Francesco |
Kourousias, George |
Lanzafame, Gabriele |
Voltolini, Marco |
Contillo, Adriano |
Mancini, Lucia
Topics
tomografski 3D/4D slikovni podatki |
obdelava in analiza slik |
odprtokodna programska oprema |
Python |
tomographic 3D/4D imaging data |
image processing and analysis |
open source software |
Python
Author | Aboulhassan, Amal ... |
Title | PyPore3D : an open source software tool for imaging data processing and analysis of porous and multiphase media [Elektronski vir] |
Publication date | 2022-07-07 |
COBISS.SI-ID | 121176579 |
Publication version in repository | Publisher's version |
Publication licence | Creative Commons Attribution 4.0 International |
Embargo | Immediate publication for public |
Project(s) from which the publication was funded
Title | Acronym | Project ID | Funder |
---|---|---|---|
International, inter-sectoral and inter-disciplinary Doctoral Training Programme to Aix-Marseille University | DOC2AMU | 713750 |
European Commission |
Next Generation Ecosystem Experiment | NGEE-Arctic | DEAC0205CH11231 |
Office of Biological and Environmental Research |
INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE | Amidex | 11-IDEX-0001 |
French National Research Agency (ANR) |
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Link |
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https://www.mdpi.com/2313-433X/8/7/187 |
https://dirros.openscience.si/IzpisGradiva.php?id=15815 |
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Aboulhassan, Amal | |
Brun, Francesco | |
Kourousias, George | |
Lanzafame, Gabriele | |
Voltolini, Marco | |
Contillo, Adriano | |
Mancini, Lucia | 56577 |
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