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.