dc.creatorLOPEZ CHAU, ASDRUBAL; 100664
dc.creatorROJAS HERNANDEZ, RAFAEL; 49105
dc.creatorTRUJILLO MORA, VALENTIN; 43420
dc.creatorCERVANTES CANALES, JAIR; 101829
dc.creatorRODRIGUEZ MAZAHUA, LISBETH; 268183
dc.creatorGARCIA LAMONT, FARID; 216477
dc.creatorLOPEZ CHAU, ASDRUBAL
dc.creatorROJAS HERNANDEZ, RAFAEL
dc.creatorTRUJILLO MORA, VALENTIN
dc.creatorCERVANTES CANALES, JAIR
dc.creatorRODRIGUEZ MAZAHUA, LISBETH
dc.creatorGARCIA LAMONT, FARID
dc.date2018-02-16T16:11:56Z
dc.date2018-02-16T16:11:56Z
dc.date2017-11-01
dc.date.accessioned2019-05-28T21:36:05Z
dc.date.available2019-05-28T21:36:05Z
dc.identifier1548-0992
dc.identifierhttp://hdl.handle.net/20.500.11799/68621
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/2904551
dc.descriptionAutomatic plant identification has been an important issue in the last years. Most of the state-of-the-art methods for this purpose use leaf features to predict the species. Despite there are many methods to extract different leaf features, just few of them are focused on discriminating between simple and compound leaves. In this work, we introduce a method to detect compound leaves. Our method uses concentric circles to explore the surface of the leaf to count the changes of color in binary images, then, the changes are analyzed to detect compound leaves. The method predicts correctly more than 96% of the leaves in the Flavia data set. We also tested the method with some images of leaves available on the Internet, with 100% of correctness. The information on whether a leaf is or not compound, was used on experiments to observe whether this improves the performance of classifiers.
dc.languagespa
dc.publisherIEEE Latin America Transactions
dc.relationVol.;15
dc.relationNo.;11
dc.rightsopenAccess
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0
dc.subjecthoja compuesta
dc.subjectcaracterísticas de hoja
dc.subjectidentificación de plantas
dc.subjectclasificación
dc.subjectINGENIERÍA Y TECNOLOGÍA
dc.titleDetection of Compund Leaves for Plant Identification
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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