Home // ALLDATA 2015, The First International Conference on Big Data, Small Data, Linked Data and Open Data // View article

Plant Leaves Classification

Authors:
Mohamed Elhadi Rahmani
Abdelmalek Amine
Mohamed Reda Hamou

Keywords: Plants leaves classificatin; supervised classification; KNN; Decision tree; Naïve Bayes

Abstract:
A leaf is an organ of vascular plant and is the principal lateral appendage of the stem. Each leaf has a set of features that differentiate it from the other leaves, such as margin and shape. This paper proposes a comparison of supervised plant leaves classification using different approaches, based on different representations of these leaves, and the chosen algorithm. Beginning with the representation of leaves, we presented leaves by a fine-scale margin feature histogram, by a Centroid Contour Distance Curve shape signature, or by an interior texture feature histogram in 64 element vector for each one, after we tried different combination among these features to optimize results. We classified the obtained vectors. Then we evaluate the classification using cross validation. The obtained results are very interesting and show the importance of each feature.

Pages: 75 to 80

Copyright: Copyright (c) IARIA, 2015

Publication date: April 19, 2015

Published in: conference

ISSN: 2519-8386

ISBN: 978-1-61208-445-9

Location: Barcelona, Spain

Dates: from April 19, 2015 to April 24, 2016