Feature selection for Malaysian medicinal plant leaf shape identification and classification
Malaysian medicinal plants may be abundant natural resources but there has not been much research done on preserving the knowledge of these medicinal plants which enables general public to know the leaf using computing capability.Therefore, in this preliminary study, a novel framework in order to id...
Saved in:
Main Authors: | Sainin, Mohd Shamrie, Alfred, Rayner |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/12319/1/PID3293599.pdf http://repo.uum.edu.my/12319/ http://coesa.ums.edu.my/iccst_2014/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Malaysian medicinal plant leaf shape identification and classification
by: Sainin, Mohd Shamrie, et al.
Published: (2014) -
Half leaf shape feature extraction for leaf identification
by: Sainin, Mohd Shamrie, et al.
Published: (2009) -
Improving the identification and classification of Malaysian medicinal leaf images using ensemble method
by: Sainin, Mohd Shamrie, et al.
Published: (2016) -
A genetic based wrapper feature selection
approach using nearest neighbour distance matrix
by: Sainin, Mohd Shamrie, et al.
Published: (2011) -
Nearest neighbour distance matrix classification
by: Sainin, Mohd Shamrie, et al.
Published: (2010)