Optimized feature selection for improved tropical wood species recognition system
An automated wood recognition system can classify wood species in just a matter of seconds and can replace manual inspection by human. The system captures image of wood surface and features are extracted from these images before being input into the classifier. However, due to variations in tropical...
Saved in:
Main Authors: | Khairuddin, Uswah, Yusof, Rubiyah, Khalid, Marzuki, Cordova, F. |
---|---|
Format: | Article |
Published: |
ICIC Express Letters Office
2011
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/29555/ https://www.scopus.com/record/display.uri?eid=2-s2.0-79952427379&origin=resultslist&sort=plf-f&src=s&st1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimized feature selection for tropical wood species recognition using genetic algorithm
by: Khairuddin, Uswah
Published: (2012) -
Application of kernel-genetic algorithm as nonlinear feature selection in tropical wood species recognition system
by: Yusof, Rubiyah, et al.
Published: (2013) -
New feature extraction for wood species recognition system via statistical properties of line distribution
by: Abdul Ghapar, Hafizza, et al.
Published: (2021) -
Online system for automatic tropical wood recognition
by: Rosli, Nenny Ruthfalydia, et al.
Published: (2019) -
Statistical feature extraction method for wood species recognition system
by: Ibrahim, Imanurfatiehah, et al.
Published: (2018)