A Preliminary Study of Wood Species Classifacation System Based on Wood Knot Texture Using K-Nearest Neighbour With Optimized Features From Binary Magnetic Optimization Algorithm Selection

The Classification of wood type can be done by studying the texture of the wood knot. This paper proposed a classification of wood species using k-Nearest Neighbour with optimized features. The images of wood knots are taken from Universiti Teknologi Malaysia’s CAIRO Wood Database. The database cons...

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Bibliographic Details

Main Authors:	Osman, Khairuddin, Mohamad, Syahrul Hisham, Jaafar, Hazriq Izzuan
Format:	Conference or Workshop Item
Language:	en
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utem.edu.my/id/eprint/10656/1/2013_Conf._3July_SETNC2013_%282%29.pdf http://eprints.utem.edu.my/id/eprint/10656/
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