Evaluation of metal objects surface parameters informativity using 2D and 3Ddata For classification of fractures
This article describes evaluation the information content of metal objects surfaces for classification of fractures using 2D and 3D data. As parameters, the textural characteristics of Haralick, local binary patterns of pixels for 2D images, macrogeometric descriptors of metal objects digitized by a...
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Format: | Article |
Language: | English |
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Belarusian National Technical University
2022-01-01
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Series: | Системный анализ и прикладная информатика |
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Online Access: | https://sapi.bntu.by/jour/article/view/538 |
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author | V. A. Ganchenko E. E. Marushko L. P. Podenok A. V. Inyutin |
author_facet | V. A. Ganchenko E. E. Marushko L. P. Podenok A. V. Inyutin |
author_sort | V. A. Ganchenko |
collection | DOAJ |
description | This article describes evaluation the information content of metal objects surfaces for classification of fractures using 2D and 3D data. As parameters, the textural characteristics of Haralick, local binary patterns of pixels for 2D images, macrogeometric descriptors of metal objects digitized by a 3D scanner 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 metals fractures classification. The results will be used for development of methods for complex forensic examination of complex polygonal surfaces of solid objects for automated system for analyzing digital images. |
format | Article |
id | doaj-art-cad99d8bb5a14c8a8e5291bc9c6b7de4 |
institution | Matheson Library |
issn | 2309-4923 2414-0481 |
language | English |
publishDate | 2022-01-01 |
publisher | Belarusian National Technical University |
record_format | Article |
series | Системный анализ и прикладная информатика |
spelling | doaj-art-cad99d8bb5a14c8a8e5291bc9c6b7de42025-08-04T14:26:22ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812022-01-0104556010.21122/2309-4923-2021-4-55-60404Evaluation of metal objects surface parameters informativity using 2D and 3Ddata For classification of fracturesV. A. Ganchenko0E. E. Marushko1L. P. Podenok2A. V. Inyutin3United Institute of Informatics Problems of the National Academy of Sciences of BelarusUnited Institute of Informatics Problems of the National Academy of Sciences of BelarusUnited Institute of Informatics Problems of the National Academy of Sciences of BelarusUnited Institute of Informatics Problems of the National Academy of Sciences of BelarusThis article describes evaluation the information content of metal objects surfaces for classification of fractures using 2D and 3D data. As parameters, the textural characteristics of Haralick, local binary patterns of pixels for 2D images, macrogeometric descriptors of metal objects digitized by a 3D scanner 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 metals fractures classification. The results will be used for development of methods for complex forensic examination of complex polygonal surfaces of solid objects for automated system for analyzing digital images.https://sapi.bntu.by/jour/article/view/538metal fracturetexture featuresmacrogeometric descriptors |
spellingShingle | V. A. Ganchenko E. E. Marushko L. P. Podenok A. V. Inyutin Evaluation of metal objects surface parameters informativity using 2D and 3Ddata For classification of fractures Системный анализ и прикладная информатика metal fracture texture features macrogeometric descriptors |
title | Evaluation of metal objects surface parameters informativity using 2D and 3Ddata For classification of fractures |
title_full | Evaluation of metal objects surface parameters informativity using 2D and 3Ddata For classification of fractures |
title_fullStr | Evaluation of metal objects surface parameters informativity using 2D and 3Ddata For classification of fractures |
title_full_unstemmed | Evaluation of metal objects surface parameters informativity using 2D and 3Ddata For classification of fractures |
title_short | Evaluation of metal objects surface parameters informativity using 2D and 3Ddata For classification of fractures |
title_sort | evaluation of metal objects surface parameters informativity using 2d and 3d data for classification of fractures |
topic | metal fracture texture features macrogeometric descriptors |
url | https://sapi.bntu.by/jour/article/view/538 |
work_keys_str_mv | AT vaganchenko evaluationofmetalobjectssurfaceparametersinformativityusing2dand3ddataforclassificationoffractures AT eemarushko evaluationofmetalobjectssurfaceparametersinformativityusing2dand3ddataforclassificationoffractures AT lppodenok evaluationofmetalobjectssurfaceparametersinformativityusing2dand3ddataforclassificationoffractures AT avinyutin evaluationofmetalobjectssurfaceparametersinformativityusing2dand3ddataforclassificationoffractures |