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...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
ICIC Express Letters Office
2011
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| 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 |
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| Institution: | Universiti Teknologi Malaysia |