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