Evaluation of texture feature based on basic local binary pattern for wood defect classification

Wood defects detection has been studied a lot recently to detect the defects on the wood surface and assist the manufacturers in having a clear wood to be used to produce a high-quality product. Therefore, the defects on the wood affect and reduce the quality of wood. This research proposes an effec...

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Bibliographic Details
Main Authors: Eihab Abdelkariem Bashir Ibrahim, Ummi Raba'ah Hashim, Lizawati Salahuddin, Nor Haslinda Ismail, Ngo Hea Choon, Kasturi Kanchymalay, Siti Normi Zabri
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2021-03-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Online Access:http://ijain.org/index.php/IJAIN/article/view/393

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