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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Main Authors: V. A. Ganchenko, E. E. Marushko, L. P. Podenok, A. V. Inyutin
Format: Article
Language:English
Published: Belarusian National Technical University 2022-01-01
Series:Системный анализ и прикладная информатика
Subjects:
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
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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