Título

Detection of Compund Leaves for Plant Identification

Autor

ASDRUBAL LOPEZ CHAU

RAFAEL ROJAS HERNANDEZ

VALENTIN TRUJILLO MORA

JAIR CERVANTES CANALES

LISBETH RODRIGUEZ MAZAHUA

FARID GARCIA LAMONT

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by-nc/4.0

Materias

hoja compuesta - ([1548-0992]) características de hoja - ([1548-0992]) identificación de plantas - ([1548-0992]) clasificación - ([1548-0992]) INGENIERÍA Y TECNOLOGÍA - (CTI)

Resumen o descripción

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.

Editor

IEEE Latin America Transactions

Fecha de publicación

1 de noviembre de 2017

Tipo de publicación

Artículo

Recurso de información

http://hdl.handle.net/20.500.11799/68621

Fuente

1548-0992

Idioma

Español

Relación

Vol.;15

No.;11

Audiencia

Estudiantes

Investigadores

Repositorio Orígen

REPOSITORIO INSTITUCIONAL DE LA UAEM

Descargas

165