Title :
Herbal leaves feature extraction using Beagle board
Author :
Damodaran, Satish ; Stanley, P. Kingston
Author_Institution :
Dept. of Electron. & Instrum., Karunya Univ., Coimbatore, India
Abstract :
Human beings are prone to error in herb species recognition. Thereby in case of preparation of herbal products by using these herbs as key components, there should be an utmost concern in correctly recognising the species of herb. This paper shows image processing techniques for extraction of shape, vein and texture feature values for two species of herb leaves using Beagle board XM and these different feature values extracted can be used as inputs for further classification stage.
Keywords :
feature extraction; image classification; image texture; shape recognition; Beagle board XM; herb species recognition; herbal leave feature extraction; herbal product preparation; image classification; image processing technique; shape extraction; texture feature value; vein feature value; Morphological operations; Silicon; Feature; contour; morphological; pixels; vein;
Conference_Titel :
Electronics and Communication Systems (ICECS), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2321-2
DOI :
10.1109/ECS.2014.6892529
