Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method

Detalhes bibliográficos
Autor(a) principal: Backes, André Ricardo
Data de Publicação: 2008
Outros Autores: Bruno, Odemir Martinez
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/220
Resumo: Shape is one of the most important visual attributes used to characterize objects, playing a important role in pattern recognition. There are various approaches to extract relevant information of a shape. An approach widely used in shape analysis is the complexity, and Fractal Dimension and Multi-Scale Fractal Dimension are both well-known methodologies to estimate it. This papers presents a comparative study between Fractal Dimension and Multi-Scale Fractal Dimension in a shape analysis context. Through experimental comparison using a shape database previously classified, both methods are compared. Different parameters configuration of each method are considered and a discussion about the results of each method is also presented.
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spelling Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski methodComplexityShape AnalysisFractal DimensionMulti-Scale Fractal DimensionFourier TransformShape is one of the most important visual attributes used to characterize objects, playing a important role in pattern recognition. There are various approaches to extract relevant information of a shape. An approach widely used in shape analysis is the complexity, and Fractal Dimension and Multi-Scale Fractal Dimension are both well-known methodologies to estimate it. This papers presents a comparative study between Fractal Dimension and Multi-Scale Fractal Dimension in a shape analysis context. Through experimental comparison using a shape database previously classified, both methods are compared. Different parameters configuration of each method are considered and a discussion about the results of each method is also presented.Editora da UFLA2008-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/220INFOCOMP Journal of Computer Science; Vol. 7 No. 2 (2008): June, 2008; 74-831982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/220/205Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessBackes, André RicardoBruno, Odemir Martinez2015-06-27T23:52:43Zoai:infocomp.dcc.ufla.br:article/220Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:25.356318INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
title Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
spellingShingle Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
Backes, André Ricardo
Complexity
Shape Analysis
Fractal Dimension
Multi-Scale Fractal Dimension
Fourier Transform
title_short Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
title_full Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
title_fullStr Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
title_full_unstemmed Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
title_sort Fractal and Multi-Scale Fractal Dimension analysis: a comparative study of Bouligand-Minkowski method
author Backes, André Ricardo
author_facet Backes, André Ricardo
Bruno, Odemir Martinez
author_role author
author2 Bruno, Odemir Martinez
author2_role author
dc.contributor.author.fl_str_mv Backes, André Ricardo
Bruno, Odemir Martinez
dc.subject.por.fl_str_mv Complexity
Shape Analysis
Fractal Dimension
Multi-Scale Fractal Dimension
Fourier Transform
topic Complexity
Shape Analysis
Fractal Dimension
Multi-Scale Fractal Dimension
Fourier Transform
description Shape is one of the most important visual attributes used to characterize objects, playing a important role in pattern recognition. There are various approaches to extract relevant information of a shape. An approach widely used in shape analysis is the complexity, and Fractal Dimension and Multi-Scale Fractal Dimension are both well-known methodologies to estimate it. This papers presents a comparative study between Fractal Dimension and Multi-Scale Fractal Dimension in a shape analysis context. Through experimental comparison using a shape database previously classified, both methods are compared. Different parameters configuration of each method are considered and a discussion about the results of each method is also presented.
publishDate 2008
dc.date.none.fl_str_mv 2008-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/220
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/220
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/220/205
dc.rights.driver.fl_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 7 No. 2 (2008): June, 2008; 74-83
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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