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Title: CT Imaging, Data Reduction, and Visualization of Hardwood Logs
Author: Schmoldt, Daniel L.;
Source: Proceedings, 24th Annual Hardwood Symposium. pp. 69-80.
Publication Series: Miscellaneous Publication
Description: Computer tomography (CT) is a mathematical technique that, combined with noninvasive scanning such as x-ray imaging, has become a powerful tool to nondestructively test materials prior to use or to evaluate materials prior to processing. In the current context, hardwood lumber processing can benefit greatly by knowing what a log looks like prior to initial breakdown. Previous research has indicated that CT imaging of logs can pay for itself in medium- and high-volume sawmills. Nevertheless, numerous implementation issues remain. This paper discusses several of these. First, x-ray imaging parameters for various species, defect resolutions, and defect contrasts need to be better understood. Second, the CT data collected is voluminous and needs to be condensed for application to subsequent decisionmaking. Third, because CT imaging produces spatial information, there needs to be some way to visualize that information to allow saw operators to improve lumber value recovery.
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Schmoldt, Daniel L. 1996. CT Imaging, Data Reduction, and Visualization of Hardwood Logs. Proceedings, 24th Annual Hardwood Symposium. pp. 69-80.
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