dc.contributorUniv Fed Ceara
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Federal de Uberlândia (UFU)
dc.date.accessioned2018-11-26T17:34:50Z
dc.date.available2018-11-26T17:34:50Z
dc.date.created2018-11-26T17:34:50Z
dc.date.issued2017-05-01
dc.identifierEcological Informatics. Amsterdam: Elsevier Science Bv, v. 39, p. 119-122, 2017.
dc.identifier1574-9541
dc.identifierhttp://hdl.handle.net/11449/162889
dc.identifier10.1016/j.ecoinf.2017.04.006
dc.identifierWOS:000403520500011
dc.identifierWOS000403520500011.pdf
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.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationEcological Informatics
dc.relation0,778
dc.rightsAcesso 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 parenchyma
dc.typeArtículos de revistas


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