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Iterative reconstruction of images of aluminum casting taking into account prior information
- Authors: Zolotarev C.A1, Taruat A.T2, Bilenko E.G3
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Affiliations:
- Institute of Applied Physics of the National Academy of Sciences of Belarus
- Belarusian National Technical University
- State Scientific Institution "Physico-Technical Institute of the National Academy of Sciences of Belarus"
- Issue: No 4 (2023)
- Pages: 46-55
- Section: Articles
- URL: https://rjsvd.com/0130-3082/article/view/649169
- DOI: https://doi.org/10.31857/S0130308223040048
- EDN: https://elibrary.ru/YNVEJC
- ID: 649169
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Abstract
The problem of low-projection X-ray tomography is a typical representative of the class of ill-posed problems. A practical solution to this problem will expand the scope of the X-ray tomography method. The problem of low-projection X-ray tomography is often a problem with a lack of initial data and can only be solved using a priori information. To introduce the necessary additional information into the numerical algorithm, the methods of iterative reconstruction of tomographic images are the most suitable. One of the approaches for introducing this kind of information is described in this article.
About the authors
C. A Zolotarev
Institute of Applied Physics of the National Academy of Sciences of Belarus
Email: zolotarev@iaph.bas-net.by
Minsk, Belarus
A. T Taruat
Belarusian National Technical University
Email: vjgi994@gmail.com
Minsk, Belarus
E. G Bilenko
State Scientific Institution "Physico-Technical Institute of the National Academy of Sciences of Belarus"
Email: bilenko@phti.by
Minsk, Belarus
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