Multiscale recognition of legume varieties based on leaf venation images

dc.creatorLarese, Monica Graciela
dc.creatorBaya, Ariel Emilio
dc.creatorCraviotto, Roque Mario
dc.creatorArango, Miriam R.
dc.creatorGallo, Carina
dc.creatorGranitto, Pablo Miguel
dc.date2014-08
dc.identifierhttp://hdl.handle.net/11336/29718
dc.identifierLarese, Monica Graciela; Baya, Ariel Emilio; Craviotto, Roque Mario; Arango, Miriam R.; Gallo, Carina; et al.; Multiscale recognition of legume varieties based on leaf venation images; Pergamon-Elsevier Science Ltd.; Expert Systems with Applications; 41; 10; 8-2014; 4638-4647
dc.identifier0957-4174
dc.identifierCONICET Digital
dc.identifierCONICET
dc.descriptionIn this work we propose an automatic low cost procedure aimed at classifying legume species and varieties based exclusively on the characterization and analysis of the leaf venation network. The identification of leaf venation patterns which are characteristic for each species or variety is not an easy task since in some situations (specially for cultivars from the same species) the vein differences are visually indistinguishable for humans. The proposed procedure takes as input leaf images acquired using a standard scanner, processes the images in order to segment the veins at different scales, and measures different traits on them. We use these features in combination with modern automatic classifiers and feature selection techniques in order to perform recognition. The process was initially applied to recognize three different legumes in order to evaluate the improvements over previous works in the literature, and then it was employed to distinguish three diverse soybean cultivars. The results show the improvements achieved by the usage of the multiscale features. The cultivar recognition is a more challenging problem, since the experts cannot distinguish evident differences in plain sight. However, we achieve acceptable classification results. We also analyze the feature relevance and identify, for each classifier, a small set of distinctive traits to differentiate the species and varieties
dc.descriptionFil: Larese, Monica Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; Argentina
dc.descriptionFil: Baya, Ariel Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
dc.descriptionFil: Craviotto, Roque Mario. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; Argentina
dc.descriptionFil: Arango, Miriam R.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; Argentina
dc.descriptionFil: Gallo, Carina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Santa Fe. Estación Experimental Agropecuaria Oliveros; Argentina
dc.descriptionFil: Granitto, Pablo Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas. Universidad Nacional de Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas; Argentina
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dc.languageeng
dc.publisherPergamon-Elsevier Science Ltd.
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.eswa.2014.01.029
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0957417414000529
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subjectImage Classification
dc.subjectImage Analysis
dc.subjectCultivars Recognition
dc.subjectMultiscale Vein Image
dc.subjecthttps://purl.org/becyt/ford/1.2
dc.subjecthttps://purl.org/becyt/ford/1
dc.titleMultiscale recognition of legume varieties based on leaf venation images
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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