DocumentCode :
146759
Title :
Leaf features based approach for automated identification of medicinal plants
Author :
Kumar, E. Sandeep ; Talasila, Viswanath
Author_Institution :
Dept. of Telecommun. Eng., M.S Ramaiah Inst. of Technol., Bangalore, India
fYear :
2014
fDate :
3-5 April 2014
Firstpage :
210
Lastpage :
214
Abstract :
Use of the correct plant extracts is crucial in Ayurvedic treatment. This paper focuses on the automatic identification of medicinal plants that are commonly used in Ayurveda. Previous work indicated a Gaussian distribution for various image related features of the medical plant leaves. This work strengthens this conclusion by extending the results through a better classifier design. In this work, we have considered additional plant species to prove that obtained image features are again Gaussian distributed, with the accuracy of the classifier computed.
Keywords :
biology computing; botany; image classification; medical computing; Ayurveda; Ayurvedic treatment; automated medicinal plant identification; classifier design; leaf features based approach; plant extracts; Accuracy; Biomedical imaging; Equations; Feature extraction; Gaussian distribution; Image edge detection; Ayurvedic Medicinal system; Image processing; Statistical parameters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2014 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4799-3357-0
Type :
conf
DOI :
10.1109/ICCSP.2014.6949830
Filename :
6949830
Link To Document :
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