An android application for leaf-based plant identification

Autor: Laurent Joyeux, Anne Verroust-Blondet, Sofiene Mouine, Itheri Yahiaoui, Hervé Goëau, Souheil Selmi
Přispěvatelé: Robotics & Intelligent Transportation Systems (RITS), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Pl@ntNet (Agropolis fondation)
Rok vydání: 2013
Předmět:
Zdroj: ICMR
ICMR '13-3rd ACM International Conference on Multimedia Retrieval
ICMR '13-3rd ACM International Conference on Multimedia Retrieval, Apr 2013, Dallas, United States
DOI: 10.1145/2461466.2461520
Popis: International audience; This paper presents an Android application for plant identification. The system relies on the observation of leaf images. Unlike other mobile plant identification applications, the user may choose the leaf characters that will guide the identification process. For this purpose, two kinds of descriptors are proposed to the user: a shape descriptor based on a multiscale triangular representation of the leaf margin and a descriptor of the salient points of the leaf. The application achieves good identification accuracy and provides Android users a useful system for plant identification.
Databáze: OpenAIRE