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1 Inria Paris-Rocquencourt 2 CRESTIC - Centre de Recherche en Sciences et Technologies de l-Information et de la Communication

Abstract : Manual Plant identification done by experts is tedious and time consuming. This process needs to be automatic and easy to handle by the different stakeholders. In this paper, we propose an original method for plant species recognition, based on the leaf observation. We consider two sources of information: the leaf margin and the leaf salient points. For the leaf shape description, we investigate the shape context descriptor and two multiscale triangular approaches: the well-known triangle area representation TAR and the triangle side length representation TSL. We propose then their combination with a shape-context based descriptor that represents the spatial correlation between the leaf salient points and the leaf margin. Experiments are carried out on three public leaf datasets. Results show that our approach achieves a high retrieval accuracy and outperforms state-of-art methods.

Keywords : plant species recognition leaf retrieval shape representation local descriptors shape context





Autor: Sofiène Mouine - Itheri Yahiaoui - Anne Verroust-Blondet -

Fuente: https://hal.archives-ouvertes.fr/



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