Statistical texture representation for wood defect image classification using local binary pattern variants

Extensive research has been done on the automation of wood defect detection, to improve the quality of wood products, reduce human labour errors, and increase sales and production, for the wood industry. Our study extends previous work on the automated inspection of wood to include Malaysian wood sp...

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Bibliographic Details
Main Author:	Rahiddin, Rahillda Nadhirah Norizzaty
Format:	Thesis
Language:	English English
Published:	2021
Subjects:	Q Science (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/26000/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121285
Abstract	Abstract here

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