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

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.