Texture representation for wood defect image classification using enhanced colour uniform local binary pattern
Wood defect classification remains a critical challenge in the timber industry due to natural variations in defect appearance, illumination inconsistencies, and texture complexity across wood species. Traditional manual inspection methods for assessing wood quality are time-consuming, subjective, an...
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| Format: | Thesis |
| Language: | en |
| Published: |
2025
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/29453/2/Texture%20representation%20for%20wood%20defect%20image%20classification%20using%20enhanced%20colour%20uniform%20local%20binary%20pattern.pdf http://eprints.utem.edu.my/id/eprint/29453/ |
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