Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis

Detalhes bibliográficos
Autor(a) principal: Backes, Andre R.
Data de Publicação: 2009
Outros Autores: Sa Junior, Jarbas J. de M., Kolb, Rosana M., Bruno, Odemir M. [UNESP], Jiang, X, Petkov, N.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/197300
Resumo: This paper presents the study of computational methods applied to histological texture analysis in order to identify plant species, a very difficult task due to the great similarity among sortie species and presence of irregularities in a given species. Experiments were performed considering 300 x 300 texture windows extracted from adaxial surface epidermis from eight species. Different texture methods were evaluated rising Linear Discriminant Analysis (LDA). Results showed that methods based on complexity analysis perform a better texture discrimination; so conducting to a, more accurate identification of plant species.
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spelling Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermisplant identificationcomplexitymulti-scale fractal dimensiontexture analysisThis paper presents the study of computational methods applied to histological texture analysis in order to identify plant species, a very difficult task due to the great similarity among sortie species and presence of irregularities in a given species. Experiments were performed considering 300 x 300 texture windows extracted from adaxial surface epidermis from eight species. Different texture methods were evaluated rising Linear Discriminant Analysis (LDA). Results showed that methods based on complexity analysis perform a better texture discrimination; so conducting to a, more accurate identification of plant species.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Univ Sao Paulo, ICMC, BR-05508 Sao Paulo, BrazilUniv Estadual Paulista Julio Mesquita, Dept Ciencias Biol, Sao Paulo, BrazilUniv Sao Paulo, Inst Fis Sao Carlos IFSC, Sao Paulo, BrazilUniv Estadual Paulista Julio Mesquita, Dept Ciencias Biol, Sao Paulo, BrazilFAPESP: 2006/54367-9CNPq: 135251/2006CNPq: 306628/2007-4SpringerUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Backes, Andre R.Sa Junior, Jarbas J. de M.Kolb, Rosana M.Bruno, Odemir M. [UNESP]Jiang, XPetkov, N.2020-12-10T20:12:33Z2020-12-10T20:12:33Z2009-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject680-+Computer Analysis Of Images And Patterns, Proceedings. Berlin: Springer-verlag Berlin, v. 5702, p. 680-+, 2009.0302-9743http://hdl.handle.net/11449/197300WOS:000273458100083Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengComputer Analysis Of Images And Patterns, Proceedingsinfo:eu-repo/semantics/openAccess2024-11-25T20:19:05Zoai:repositorio.unesp.br:11449/197300Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-11-25T20:19:05Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
title Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
spellingShingle Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
Backes, Andre R.
plant identification
complexity
multi-scale fractal dimension
texture analysis
title_short Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
title_full Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
title_fullStr Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
title_full_unstemmed Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
title_sort Plant Species Identification Using Multi-scale Fractal Dimension Applied to Images of Adaxial Surface Epidermis
author Backes, Andre R.
author_facet Backes, Andre R.
Sa Junior, Jarbas J. de M.
Kolb, Rosana M.
Bruno, Odemir M. [UNESP]
Jiang, X
Petkov, N.
author_role author
author2 Sa Junior, Jarbas J. de M.
Kolb, Rosana M.
Bruno, Odemir M. [UNESP]
Jiang, X
Petkov, N.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Backes, Andre R.
Sa Junior, Jarbas J. de M.
Kolb, Rosana M.
Bruno, Odemir M. [UNESP]
Jiang, X
Petkov, N.
dc.subject.por.fl_str_mv plant identification
complexity
multi-scale fractal dimension
texture analysis
topic plant identification
complexity
multi-scale fractal dimension
texture analysis
description This paper presents the study of computational methods applied to histological texture analysis in order to identify plant species, a very difficult task due to the great similarity among sortie species and presence of irregularities in a given species. Experiments were performed considering 300 x 300 texture windows extracted from adaxial surface epidermis from eight species. Different texture methods were evaluated rising Linear Discriminant Analysis (LDA). Results showed that methods based on complexity analysis perform a better texture discrimination; so conducting to a, more accurate identification of plant species.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01
2020-12-10T20:12:33Z
2020-12-10T20:12:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Computer Analysis Of Images And Patterns, Proceedings. Berlin: Springer-verlag Berlin, v. 5702, p. 680-+, 2009.
0302-9743
http://hdl.handle.net/11449/197300
WOS:000273458100083
identifier_str_mv Computer Analysis Of Images And Patterns, Proceedings. Berlin: Springer-verlag Berlin, v. 5702, p. 680-+, 2009.
0302-9743
WOS:000273458100083
url http://hdl.handle.net/11449/197300
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computer Analysis Of Images And Patterns, Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 680-+
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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