Classification of wood defect images using local binary pattern variants

Classification of wood defect images using local binary pattern variants

This paper presents an analysis of the statistical texture representation of the Local Binary Pattern (LBP) variants in the classification of wood defect images. The basic and variants of the LBP feature set that was constructed from a stage of feature extraction processes with the Basic LBP, Rotati...

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Bibliographic Details
Main Authors: Rahillda Nadhirah Norizzaty Rahiddin, Ummi Rabaah Hashim, Nor Haslinda Ismail, Lizawati Salahuddin, Ngo Hea Choon, Siti Normi Zabri
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2020-03-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
automated visual inspection
defect detection
wood inspection
wood defect detection
local binary pattern
Online Access:http://ijain.org/index.php/IJAIN/article/view/392

Internet

http://ijain.org/index.php/IJAIN/article/view/392

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