| Issue |
MATEC Web Conf.
Volume 145, 2018
NCTAM 2017 – 13th National Congress on Theoretical and Applied Mechanics
|
|
|---|---|---|
| Article Number | 05017 | |
| Number of page(s) | 8 | |
| Section | Non-destructive testing | |
| DOI | https://doi.org/10.1051/matecconf/201814505017 | |
| Published online | 09 January 2018 | |
Bayesian reconstruction of images of objects with high-density inclusions with suppression of artifacts
1
National Academy of Sciences of Belarus, Institute of Applied Physics, Minsk, Belarus
2
Belarusian National Technical University, Minsk, Belarus
3
Institute of Information and Communications Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria
4
Instituteof Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria
* Corresponding author: ivan.georgiev@parallel.bas.bg
The technology of three-dimensional Bayesian tomographic reconstruction of homogeneous objects with high-density inclusions is developed. The approach is based on preliminary correction of projections by extracting the data corresponding to X-rays passing through a high-density region, and replacing it with synthesized data obtained by two-dimensional interpolation. An original method for selecting interpolation points is proposed and a mathematical algorithm is described that ensures the implementation of two-dimensional interpolation correction of projections.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.