dc.contributor.author |
Ariyadasa, P.A.S.M. |
|
dc.contributor.author |
Ramanan, M. |
|
dc.date.accessioned |
2022-04-18T08:46:30Z |
|
dc.date.available |
2022-04-18T08:46:30Z |
|
dc.date.issued |
2022-01-19 |
|
dc.identifier.issn |
1391-8796 |
|
dc.identifier.uri |
http://ir.lib.ruh.ac.lk/xmlui/handle/iruor/5679 |
|
dc.description.abstract |
Herbs are used since ancient times for healing various ailments in traditional medicine in various parts of the world. The identification or recognition of such plants has become a challenge for many, and the proposed method will help in overcoming these issues through classification of leafs using gradient-based features and Nearest Neighbour classifier in Support Vector Machines (SVM). The pre-processing steps involve binarization using Otsu’s method, noise removal using median filter and resizing. After preprocessing, the preprocessed leaf image will be extracted and the gradient-based features will be analyzed using |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Faculty of Science, University of Ruhuna, Matara, Sri Lanka |
en_US |
dc.subject |
HOG |
en_US |
dc.subject |
SIFT |
en_US |
dc.subject |
SVM |
en_US |
dc.subject |
Medical plant leaf classification |
en_US |
dc.subject |
Gradient-based features |
en_US |
dc.title |
Medicinal plant leaf classification using gradient-based features |
en_US |
dc.type |
Article |
en_US |