Plant images classification based on the angles between the leaf shape-contour points

Date Issued
2015
Author(s)
Gjorgjevikj, Dejan
Abstract
In this paper we compare two shape-based
descriptors for plant leaf image classification. The leaves in the
dataset are already segmented from the background only the
contour detection algorithm is applied to extract the contour
points and generate the shape-based descriptors. We propose a
reduced size descriptor based on the angles between three points
of the leaf contour and compare this descriptor with other similar
descriptors based on their classification quality. The classification
quality is measured both with 1-nearest neighbor comparison
and with RBF-SVM model trained on the generated descriptors.
Subjects

image processing; lea...

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