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