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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Main Authors: Rahiddin, Rahillda Nadhirah Norizzaty, Hashim, Ummi Rabaah, Ismail, Nor Haslinda, Salahuddin, Lizawati, Ngo, Hea Choon, Zabri@Suhaimi, Siti Normi
格式: Article
語言:English
出版: Universitas Ahmad Dahlan 2020
在線閱讀: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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