Application of Binary Particle Swarm Optimization in Automatic Classification of Wood Species using Gray Level Co-Occurence Matrix and K-Nearest Neighbour

Syahrul Hisham , Mohamad and Mohd Karis, Safirin and Jaafar, Hazriq Izzuan (2013) Application of Binary Particle Swarm Optimization in Automatic Classification of Wood Species using Gray Level Co-Occurence Matrix and K-Nearest Neighbour. International Journal of Scientific & Engineering Research, 4 (5). pp. 50-55. ISSN 2229-5518

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Abstract

This paper proposed an application of Binary Particle Swarm Optimization in automatic classification of wood species. The images of wood species are taken from Universiti Teknologi Malaysia’s CAIRO Wood Database which consists of 25 species. The features of the images are extracted using Gray Level Co-Occurrence Matrix. Then, Binary Particle Swarm Optimization is use to optimize feature selection and parameters related to it. The result indicates that the proposed approach obtained a better result compared to previous literatures with fewer features used as input for the classifier.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Electrical Engineering > Department of Control, Instrumentation & Automation
Depositing User:	HAZRIQ IZZUAN JAAFAR
Date Deposited:	13 Jan 2014 09:35
Last Modified:	28 May 2015 04:12
URI:	http://eprints.utem.edu.my/id/eprint/10619
Statistic Details:	View Download Statistic

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