Local texture representation for timber defect recognition based on variation of LBP

• Main Authors: Rahiddin, Rahillda Nadhirah Norizzaty, Hashim, Ummi Rabaah, Salahuddin, Lizawati, Kanchymalay, Kasturi, Wibawa, Aji Prasetya, Teo, Hong Chun
• Format: Article
• Language: English
• Published: Science and Information Organization 2022
• Online Access: http://eprints.utem.edu.my/id/eprint/26382/2/2022-LOCAL_TEXTURE_REPRESENTATION_FOR_TIMBER_DEFECT_RECOGNITION.PDF; http://eprints.utem.edu.my/id/eprint/26382/; https://thesai.org/Downloads/Volume13No10/Paper_53-Local_Texture_Representation_for_Timber_Defect_Recognition.pdf
• Institution: Universiti Teknikal Malaysia Melaka

This paper evaluates timber defect classification performance across four various Local Binary Patterns (LBP). The light and heavy timber used in the study are Rubberwood, KSK, Merbau, and Meranti, and eight natural timber defects involved; bark pocket, blue stain, borer holes, brown stain, knot, ro...