Local texture representation for timber defect recognition based on variation of LBP
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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science and Information Organization
2022
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| 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 |
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