Enviar artigo por via de e-mail Flat-field correction on X-ray tomographic images using deep convolutional neural networks
- Autores: Grigorev А.Y.1, Buzmakov А.V.1
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Afiliações:
- Shubnikov Institute of Crystallography of the Federal Scientific Research Centre “Crystallography and Photonics” of the Russian Academy of Sciences
- Edição: Volume 87, Nº 5 (2023)
- Páginas: 685-691
- Seção: Articles
- URL: https://rjsvd.com/0367-6765/article/view/654406
- DOI: https://doi.org/10.31857/S0367676522701149
- EDN: https://elibrary.ru/KVWGZD
- ID: 654406
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Resumo
We proposed to use neural networks to solve the problem of flat-field correction. We described the process of selecting parameters of a deep convolutional neural network to solve the flat-field correction problem with the instability of an empty beam, describes the training of this network, and checks its operability on the generated data. The developed method was tested on data obtained both on laboratory X-ray sources and synchrotron sources.
Sobre autores
А. Grigorev
Shubnikov Institute of Crystallography of the Federal Scientific Research Centre “Crystallography and Photonics”of the Russian Academy of Sciences
Autor responsável pela correspondência
Email: grigorev.a@crys.ras.ru
Russia, 119333, Moscow
А. Buzmakov
Shubnikov Institute of Crystallography of the Federal Scientific Research Centre “Crystallography and Photonics”of the Russian Academy of Sciences
Email: grigorev.a@crys.ras.ru
Russia, 119333, Moscow
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