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Naslov:PyPore3D : an open source software tool for imaging data processing and analysis of porous and multiphase media
Avtorji:ID Aboulhassan, Amal (Avtor)
ID Brun, Francesco (Avtor)
ID Kourousias, George (Avtor)
ID Lanzafame, Gabriele (Avtor)
ID Voltolini, Marco (Avtor)
ID Contillo, Adriano (Avtor)
ID Mancini, Lucia (Avtor)
Datoteke:URL URL - Izvorni URL, za dostop obiščite https://www.mdpi.com/2313-433X/8/7/187
 
.pdf PDF - Predstavitvena datoteka, prenos (13,72 MB)
MD5: 0E40FE29E59900134BC88B73683496A4
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo ZAG - Zavod za gradbeništvo Slovenije
Povzetek:In 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.).
Ključne besede:tomographic 3D/4D imaging data, image processing and analysis, open source software, Python
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Datum objave:07.07.2022
Založnik:MDPI AG
Leto izida:2022
Št. strani:str. 1-15
Številčenje:Vol. 8, iss. 7
PID:20.500.12556/DiRROS-15815 Novo okno
UDK:659.2:004
ISSN pri članku:2313-433X
DOI:10.3390/jimaging8070187 Novo okno
COBISS.SI-ID:121176579 Novo okno
Avtorske pravice:© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Opomba:Opis vira z dne 13. 9. 2022; Nasl. z nasl. zaslona; Št. članka: 187;
Datum objave v DiRROS:28.04.2023
Število ogledov:1209
Število prenosov:484
Metapodatki:XML DC-XML DC-RDF
:
ABOULHASSAN, Amal, BRUN, Francesco, KOUROUSIAS, George, LANZAFAME, Gabriele, VOLTOLINI, Marco, CONTILLO, Adriano in MANCINI, Lucia, 2022, PyPore3D : an open source software tool for imaging data processing and analysis of porous and multiphase media. Journal of imaging [na spletu]. 2022. Vol. 8, no. 7, p. 1–15. [Dostopano 11 april 2025]. DOI 10.3390/jimaging8070187. Pridobljeno s: https://dirros.openscience.si/IzpisGradiva.php?lang=slv&id=15815
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Gradivo je del revije

Naslov:Journal of imaging
Skrajšan naslov:J. imaging
Založnik:MDPI AG
ISSN:2313-433X
COBISS.SI-ID:525653017 Novo okno

Gradivo je financirano iz projekta

Financer:EC - European Commission
Program financ.:H2020
Številka projekta:713750
Naslov:International, inter-sectoral and inter-disciplinary Doctoral Training Programme to Aix-Marseille University
Akronim:DOC2AMU
Financer:Drugi - Drug financer ali več financerjev
Številka projekta:DE-AC02-05CH1123
Financer:Drugi - Drug financer ali več financerjev
Številka projekta:DEAC0205CH11231
Naslov:Next Generation Ecosystem Experiment
Akronim:NGEE-Arctic

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:tomografski 3D/4D slikovni podatki, obdelava in analiza slik, odprtokodna programska oprema, Python


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