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PyPore3D:[Elektronski vir] / an open source software tool for imaging data processing and analysis of porous and multiphase media

Authors :
Aboulhassan, Amal
Brun, Francesco
Kourousias, George
Lanzafame, Gabriele
Voltolini, Marco
Contillo, Adriano
Mancini, Lucia
Source :
Journal of imaging, str. 1-15, Vol. 8, iss. 7, Jul. 2022, COBISS-ID: 525653017
Publication Year :
2022
Publisher :
Basel : MDPI AG, 2015, 2022.

Abstract

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.) Opis vira z dne 13. 9. 2022. Nasl. z nasl. zaslona. Št. članka: 187. Bibliografija: str. 13-15. Abstract.

Details

Language :
English
ISSN :
2313433X
Database :
OpenAIRE
Journal :
Journal of imaging, str. 1-15, Vol. 8, iss. 7, Jul. 2022, COBISS-ID: 525653017
Accession number :
edsair.od.....10295..e23927b4ef70a1892fe6bff5dcc43dc7