Representation and classification of medicinal plant leaves: A symbolic approach

Naresh, Y. G. and Nagendraswamy, H. S. (2013) Representation and classification of medicinal plant leaves: A symbolic approach. In: Multimedia Processing, Communication and Computing Applications. Springer, New Delhi, pp. 91-102. ISBN 978-81-322-1143-3

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In this paper, a method of representing medicinal plant leaves shape in terms of tri-interval valued type symbolic features is proposed. The proposed method exploits the axis of least inertia of a leaf shape to extract invariant features for its characterization. Concept of clustering is used to select class representatives for each medicinal plant species. Multiple class representatives are selected to incorporate intra-class variations in each species to facilitate the task of classification. To study the efficacy of the proposed representation and classification technique, experiments are conducted on Flavia data set. The results obtained are more encouraging and a comparative study with the results of other contemporary methods on the same data set is presented. © 2013 Springer.

Item Type: Book Section
Uncontrolled Keywords: Axis of least inertia, Classification (of information), Classification technique, Communication, Comparative studies, Intra-class variation, Invariant features, Plant extracts, Shape classification, Shape matching, Symbolic representation
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: Arshiya Kousar
Date Deposited: 19 Oct 2019 07:45
Last Modified: 19 Oct 2019 07:45

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