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CLEF 2011, Conference on Multilingual and Multimodal Information Access Evaluation, Amsterdam : Pays-Bas (2011)
Guiding Active Contours for Tree Leaf Segmentation and Identification
Guillaume Cerutti 1, Laure Tougne 1, Julien Mille 1, Antoine Vacavant 2, Didier Coquin 3
(09/2011)

In the process of tree identi cation from pictures of leaves in a natural background, retrieving an accurate contour is a challenging and crucial issue. In this paper we introduce a method designed to deal with the obstacles raised by such complex images, for simple and lobed tree leaves. A rst segmentation step based on a light polygonal leaf model is first performed, and later used to guide the evolution of an active contour. Combining global shape descriptors given by the polygonal model with local curvature-based features, the leaves are then classi ed over nearly 50 tree species.
1 :  Laboratoire d'InfoRmatique en Images et Systèmes d'Information (LIRIS)
CNRS : UMR5205 – Université Claude Bernard - Lyon I – Université Lumière - Lyon II – Institut National des Sciences Appliquées (INSA) - Lyon – Ecole Centrale de Lyon
2 :  Image Science for Interventional Techniques (ISIT)
CNRS : UMR6284 – Université d'Auvergne - Clermont-Ferrand I
3 :  Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC)
Université de Savoie : EA3703
Informatique/Traitement des images
Leaf identification – Segmentation