Detección de Hojas Compuestas para Identificación de Plantas (Detection of Compound Leaves for Plant Identification)

Asdrúbal López Chau (alchau@uaemex.mx)1, Rafael Rojas Hernández (rrojashe@uaemex.mx)1, Valentín Trujillo Mora (vtrujillom@uaemex.mx)1, Jair Cervantes Canales (jcervantesc@uaemex.mx)2, Lisbeth Rodríguez Mazahua (lrodriguez@itorizaba.edu.mx)3, Farid García Lamont (fglamont@yahoo.com.mx)1


1Universidad Autónoma del Estado de México
2vtrujillom@uaemex.mx
3Instituto Tecnológico de Orizaba

This paper appears in: Revista IEEE América Latina

Publication Date: Nov. 2017
Volume: 15,   Issue: 11 
ISSN: 1548-0992


Abstract:
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.

Index Terms:
Compound leaf, leaf feature, plant identification, classification   


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