Detection of Compund Leaves for Plant Identification

Please use this identifier to cite or link to this item: http://ri.uaemex.mx/handle20.500.11799/68621

Title:	Detection of Compund Leaves for Plant Identification
Authors:	ASDRUBAL LOPEZ CHAU RAFAEL ROJAS HERNANDEZ VALENTIN TRUJILLO MORA JAIR CERVANTES CANALES LISBETH RODRIGUEZ MAZAHUA FARID GARCIA LAMONT
Keywords:	hoja compuesta;características de hoja;identificación de plantas;clasificación;info:eu-repo/classification/cti/7
Publisher:	IEEE Latin America Transactions
Project:	Vol.;15 No.;11
Description:	Automatic 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.
Other Identifiers:	http://hdl.handle.net/20.500.11799/68621
Rights:	info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc/4.0
Appears in Collections:	Producción

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