| DC Field | Value | Language |
|---|
| dc.contributor.author | Doudkin, A. | - |
| dc.contributor.author | Voronov, A. | - |
| dc.contributor.author | Ganchenko, V. | - |
| dc.contributor.author | Marushko, Ya. | - |
| dc.contributor.author | Podenok, L. | - |
| dc.contributor.author | Inyutin, A. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2024-02-27T09:29:14Z | - |
| dc.date.available | 2024-02-27T09:29:14Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Estimation of Informative Features in the Analysis of 2D Images of Bone Objects in Forensic / A. Doudkin [et al.] // Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023) : Proceedings of the 16th International Conference, October 17–19, 2023, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2023. – P. 292–295. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/54400 | - |
| dc.description.abstract | In this paper we propose an approach to solving
the problems of extracting and evaluating information features
from 2D images of bone fractures and bone objects for further
successful classifying fractures. As parameters or features, the
textural characteristics of Haralick, local binary patterns of
pixels for 2D images, Gabor filters, Laws energy texture
characteristics for 2D images are considered. The analysis
carried out on basis of information content estimation to select
the features that are most suitable for solving the problem of
bone fractures classification. This paper also describes the
experiments and experimental data. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | BSU | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | bone objects | en_US |
| dc.subject | texture features | en_US |
| dc.subject | local binary patterns | en_US |
| dc.title | Estimation of Informative Features in the Analysis of 2D Images of Bone Objects in Forensic | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Pattern Recognition and Information Processing (PRIP'2023) = Распознавание образов и обработка информации (2023)
|
