Analysis Of Texture Features For Wood Defect Classification
Selecting important features in classifying wood defects remains a challenging issue to the automated visual inspection domain. This study aims to address the extraction and analysis of features based on statistical texture on images of wood defects. A series of procedures including feature extract...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute Of Advanced Engineering And Science (IAES)
2020
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| Online Access: | http://eprints.utem.edu.my/id/eprint/25055/2/1553-4229-1-PB.PDF http://eprints.utem.edu.my/id/eprint/25055/ https://beei.org/index.php/EEI/article/view/1553/1260 |
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| Institution: | Universiti Teknikal Malaysia Melaka |
| Language: | English |