Browsing by Author "Arwatchananukul, Sujitra"

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POC: Paphiopedilum Orchid Classifier
(2015)
Arwatchananukul, Sujitra
;
Charoenkwan, Phasit
;
Xu, Dan
;
生物資訊及系統生物研究所
;
Institude of Bioinformatics and Systems Biology
Paphiopedilum Orchid Flowers (POF) are colorful wildflowers and also endangered plants since they bloom only one time per year. There are many species with a similar appearance, which makes it difficult and laborious to classify. Thus, we propose a novel Paphiopedilum Orchid Classifier (POC) based on Neural Network, utilizing the Color and Segmentation-based Fractal Texture Analysis (SFTA) features. In the classification of 11 POF species, POC achieved 97.64% of 10-fold cross validation accuracy. Besides, we also propose a new POF dataset consisting of 100 samples for each species and illustrated the prediction performance of several renowned classifiers such as Naive Bayes, K-nearest and Decision Tree. According to research result, we hope that POC can assists botanists to classify POF for further breed selection and adaptation.