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Authors: Guillaume Cerutti 1 ; Laure Tougne 1 ; Didier Coquin 2 and Antoine Vacavant 3

Affiliations: 1 Université de Lyon, CNRS, Université Lyon 2, LIRIS and UMR5205, France ; 2 LISTIC, France ; 3 Clermont Université, Université d’Auvergne and ISIT, France

Keyword(s): Curvature-Scale Space, Contour Characterization, Leaf Identification, Shape Classification.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Shape Representation and Matching

Abstract: In the frame of a tree species identifying mobile application, designed for a wide scope of users, and with didactic purposes, we developed a method based on the computation of explicit leaf shape descriptors inspired by the criteria used in botany. This paper focuses on the characterization of the leaf contour, the extraction of its properties, and its description using botanical terms. Contour properties are investigated using the Curvature-Scale Space representation, the potential teeth explicitly extracted and described, and the margin classified into a set of inferred shape classes. Results are presented for both margin shape characterization, and leaf classification over nearly 80 tree species.

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Paper citation in several formats:
Cerutti, G.; Tougne, L.; Coquin, D. and Vacavant, A. (2013). Curvature-Scale-based Contour Understanding for Leaf Margin Shape Recognition and Species Identification. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 277-284. DOI: 10.5220/0004225402770284

@conference{visapp13,
author={Guillaume Cerutti. and Laure Tougne. and Didier Coquin. and Antoine Vacavant.},
title={Curvature-Scale-based Contour Understanding for Leaf Margin Shape Recognition and Species Identification},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={277-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004225402770284},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Curvature-Scale-based Contour Understanding for Leaf Margin Shape Recognition and Species Identification
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Cerutti, G.
AU - Tougne, L.
AU - Coquin, D.
AU - Vacavant, A.
PY - 2013
SP - 277
EP - 284
DO - 10.5220/0004225402770284
PB - SciTePress