Delaunay triangulation on skeleton of flowers for classification

Shara Kumar, Y. H. and Vinay Kumar, N. and Guru, D. S. (2015) Delaunay triangulation on skeleton of flowers for classification. Procedia Computer Science, 45. pp. 226-235. ISSN 1877-0509

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Abstract

In this work, we propose a Triangle based approach to classify flower images. Initially, flowers are segmented using whorl based region merging segmentation. Skeleton of a flower is obtained from the segmented flower using a skeleton pruning method. The Delaunay triangulation is obtained from the endpoints and junction points detected on the skeleton. The length and angle features are extracted from the obtained Delaunay triangles and then are aggregated to represent in the form of interval-valued type data. A suitable classifier has been explored for the purpose of classification. To corroborate the efficacy of the proposed method, an experiment is conducted on our own data set of 30 classes of flowers, containing 3000 samples.

Item Type: Article
Uncontrolled Keywords: Flower Segmentation and Discrete Curve Evolution and Delaunay Triangulation and Symbolic Representation and Classification
Subjects: D Physical Science > Computer Science
Divisions: Department of > Computer Science
Depositing User: Users 19 not found.
Date Deposited: 20 Jul 2019 10:04
Last Modified: 20 Jul 2019 10:04
URI: http://eprints.uni-mysore.ac.in/id/eprint/5411

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