<i>Camellia</i> (Theaceae) classification with support vector machines based on fractal parameters and Red, Green, and Blue intensity of leaves
Leaf traits are commonly used in plant taxonomic applications. The aim of this study was to test the utility of fractal leaf parameters analysis (FA) and leaf red, green, and blue (RGB) intensity values based on support vector machines as a method for accurately discriminating Camellia (68 species from five sections, 11 from sect. Furfuracea, 13 from sect. Paracamellia, 15 from sect. Tuberculata, 24 from sect. Theopsis and 5 from sect. Camellia). The results showed that the best classification accuracy as up to 96.88% using the RBF SVM classifier (C = 16, g = 0.5). The linear kernel overall accuracy was 90.63%, and the correct classification rates of 40.63% and 93.75% were achieved for the sigmoid SVM classifier (C = 16, g = 0.5) and the polynomial SVM classifier (C = 16, g = 0.5, d = 2), respectively. A hierarchical dendrogram based on leaf FA and RGB intensity values was mostly on agreement with the generally accepted classification of the Camellia species. SVM combined with FA and RGB may be used for rapidly and accurately classifying Camellia species and identifying unknown genotypes.
Keywords: Camellia; Classification; Fractal analysis; RGB; SVM.
Bangladesh J. Plant Taxon. 24(1): 6581, 2017 (June)
Copyright (c) 2017 Bangladesh Association of Plant Taxonomists
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on any research article is transferred in full to Bangladesh Association of Plant Taxonomists upon publication in Bangladesh Journal of Plant Taxonomy. The copyright transfer includes the right to reproduce and distribute the article in any form of reproduction (printing, electronic media or any other form).
Articles in the Bangladesh Journal of Plant Taxonomy are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License.
This license permits use, distribution and reproduction in any medium, provided the original work is properly cited. It is author's responsibility to obtain the permission from appropriate authority if figures are reused from a previously published document.