Flat-field correction on X-ray tomographic images using deep convolutional neural networks

Мұқаба

Дәйексөз келтіру

Толық мәтін

Ашық рұқсат Ашық рұқсат
Рұқсат жабық Рұқсат берілді
Рұқсат жабық Тек жазылушылар үшін

Аннотация

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.

Авторлар туралы

А. Grigorev

Shubnikov Institute of Crystallography of the Federal Scientific Research Centre “Crystallography and Photonics”
of the Russian Academy of Sciences

Хат алмасуға жауапты Автор.
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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© А.Ю. Григорьев, А.В. Бузмаков, 2023