Shape and Texture Based Plant Leaf Classification

This article presents a novel method for classification of plants using their leaves. Most plant species have unique leaves which differ from each other by characteristics such as the shape, colour, texture and the margin. The method introduced in this study proposes to use two of these features: the shape and the texture. The shape-based method will extract the contour signature from every leaf and then calculate the dissimilarities between them using the Jeffrey-divergence measure. The orientations of edge gradients will be used to analyse the macro-texture of the leaf. The results of these methods will then be combined using an incremental classification algorithm.

• Type: Journal
• Year: 2010
• Where: ACIVS
• Authors: Thibaut Beghin, James S. Cope, Paolo Remagnino, Sarah Barman
• Keywords: ACIVS 2010, Computer Vision, Incremental Classification Algorithm, Most Plant Species, Shape-based Method