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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: Rahiddin, Rahillda Nadhirah Norizzaty, Hashim, Ummi Rabaah, Ismail, Nor Haslinda, Salahuddin, Lizawati, Ngo, Hea Choon, Zabri@Suhaimi, Siti Normi
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2020
Online Access:http://eprints.utem.edu.my/id/eprint/25004/2/2020%2C%20UMMI%2C%20CLASSIFICATION_OF_WOOD_DEFECT_IMAGES.PDF
http://eprints.utem.edu.my/id/eprint/25004/
http://ijain.org/index.php/IJAIN/article/view/392/ijain_v6i1_p36-45
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http://eprints.utem.edu.my/id/eprint/25004/2/2020%2C%20UMMI%2C%20CLASSIFICATION_OF_WOOD_DEFECT_IMAGES.PDF
http://eprints.utem.edu.my/id/eprint/25004/
http://ijain.org/index.php/IJAIN/article/view/392/ijain_v6i1_p36-45

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