Plant species identification using shortest paths in graphs applied to color images of palisade parenchyma

dc.contributor.authorMesquita Sa Junior, Jarbas Joaci de
dc.contributor.authorCortez, Paulo Cesar
dc.contributor.authorKolb, Rosana Marta [UNESP]
dc.contributor.authorBackes, Andre Ricardo
dc.contributor.institutionUniv Fed Ceara
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.date.accessioned2018-11-26T17:34:50Z
dc.date.available2018-11-26T17:34:50Z
dc.date.issued2017-05-01
dc.description.abstractAiming to identify plants, we propose to evaluate the color texture of the palisade parenchyma, from microscopic images of leaf cross-sections, using a graph based approach. Our texture analysis approach models the image texture as a graph and uses measurements computed from the shortest paths between specific vertices to provide a feasible texture signature. For a more consistent evaluation, we compared our approach to different methods for color texture analysis in a texture classification experiment. The results obtained indicate that our approach is the most suitable for this histological analysis as it surpassed all the other texture approaches using Linear Discriminant Analysis, and obtained the second best accuracy using 1-Nearest Neighbor. These results also corroborate the feasibility of using both histological (as the palisade parenchyma) and computer analysis for identification and delimitation of plant taxa.en
dc.description.affiliationUniv Fed Ceara, Curso Engn Comp, Campus Sobral,Rua Estanislau Frota S-N, BR-62010560 Sobral, Ceara, Brazil
dc.description.affiliationUniv Fed Ceara, Dept Engn Teleinformat, Campus Pici S-N,Bloco 725,Caixa Postal 6007, BR-60455970 Fortaleza, Ceara, Brazil
dc.description.affiliationUniv Estadual Paulista, Dept Ciencias Biol, Fac Ciencias & Letras, Av Dom Antonio 2100, BR-19806900 Assis, SP, Brazil
dc.description.affiliationUniv Fed Uberlandia, Fac Comp, Av Joao Naves de Avila 2121, BR-38408100 Uberlandia, MG, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Dept Ciencias Biol, Fac Ciencias & Letras, Av Dom Antonio 2100, BR-19806900 Assis, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorshipPROPP-UFU
dc.description.sponsorshipIdCNPq: 302416/2015-3
dc.description.sponsorshipIdFAPEMIG: APQ-03437-15
dc.format.extent119-122
dc.identifierhttp://dx.doi.org/10.1016/j.ecoinf.2017.04.006
dc.identifier.citationEcological Informatics. Amsterdam: Elsevier Science Bv, v. 39, p. 119-122, 2017.
dc.identifier.doi10.1016/j.ecoinf.2017.04.006
dc.identifier.fileWOS000403520500011.pdf
dc.identifier.issn1574-9541
dc.identifier.urihttp://hdl.handle.net/11449/162889
dc.identifier.wosWOS:000403520500011
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofEcological Informatics
dc.relation.ispartofsjr0,778
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectPlant identification
dc.subjectColor texture
dc.subjectPalisade parenchyma
dc.subjectShortest paths
dc.subjectGraphs
dc.titlePlant species identification using shortest paths in graphs applied to color images of palisade parenchymaen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.author.orcid0000-0003-3841-5597[3]
unesp.departmentCiências Biológicas - FCLASpt

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