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

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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Main Authors: Ibrahim, Eihab Abdelkariem Bashir (Author), Hashim, Ummi Raba'ah (Author), Salahuddin, Lizawati (Author), Ismail, Nor Haslinda (Author), Choon, Ngo Hea (Author), Kanchymalay, Kasturi (Author), Zabri, Siti Normi (Author)
Format: EJournal Article
Published: Universitas Ahmad Dahlan, 2021-03-31.
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info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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