Curvature-Scale-based Contour Understanding for Leaf Margin Shape Recognition and Species Identification

Guillaume Cerutti, Laure Tougne, Didier Coquin, Antoine Vacavant

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 277-284. DOI: 10.5220/0004225402770284


in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={277-284},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004225402770284},
isbn={978-989-8565-47-1},
}


in EndNote Style

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