Real-time-intelligent system for estimating the strength of lumber using X-ray image

TitleReal-time-intelligent system for estimating the strength of lumber using X-ray image
Publication TypeJournal Article
Year of Publication2004
AuthorsSaravi, A., P. D. Lawrence, and F. Lam
Secondary AuthorsVillaneuva, J. J.
JournalProceedings of the 4th IASTED International Conference on Visualization, Imaging, and Image Processing
Pagination31–36
Abstract

A real-time-intelligent mechanics-based lumber grading system was developed to provide a better estimation of the strength of a board nondestructively in real-time. This system processed X-Ray-extracted geometric features (of 1080 boards that eventually underwent destructive strength testing) by using a physical model of lumber using a knowledge-based table (which is generated by an FEM model) to generate associated stress fields. The stress fields were then fed to a feature-extracting-processor which produced a single strength predicting feature. By applying two different algorithms to a database of more than 1000 boards, to estimate the strength of boards, a coefficient of determination of 0.4597, and 0.4763 were achieved for different algorithms respectively.

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