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

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...

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Bibliographic Details
Main Authors: Syahrul Hisham , Mohamad, Mohd Karis, Safirin, Jaafar, Hazriq Izzuan
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/10619/1/2013_Journal_IJSCER_%282%29.pdf
http://eprints.utem.edu.my/id/eprint/10619/
http://www.ijser.org/onlineResearchPaperViewer.aspx?Binary-Particle-Swarm-Optimization-in-Automatic-Classification-of-Wood-Species.pdf
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Institution: Universiti Teknikal Malaysia Melaka
Language: English