Automatically locating and classifying log defects helps to improve lumber yield, in terms of both volume and quality. Traditional defect inspection is done by the sawyer’s naked eye within a matter of seconds. Such visual inspection has a high error rate, and is easily influenced by the operator’s physical and mental condition. Thus, this has become an active research area where a variety of computerized defect detection and classification systems are being examined by various research groups to assist the sawyer’s decision-making abilities.
- Scanning hardwood logs
- Locating external defects and determining internal defect features.
- Determining the best sawing strategy for each log given its shape and defect features.
- Ed Thomas, USDA Forest Service - Northern Research Station, Research Computer Scientist
- Dr. Liya Thomas, Concord University, Athens, WV
- Dr. Jingxin Wang, West Virginia University, Morgantown, WV
- Dr. Clifford Shaffer, Virginia Tech. Blacksburg, VA
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