Detection of internal log defects by automatic interpretation of computer tomography images

Internal defects can be seen clearly in computer tomography (CT) images of sawlogs. In a sawmill, CT-scan technology could be applied to improve the overall grade and quantity of lumber produced. We describe a computer system that automatically interprets CT-scan images and successfully identifies the knots, rot, and cracks occurring in a log. The computer program uses the high density and elliptical shape of knots to distinguish them from good wood, and the low density and rough texture of rotten areas to separate rotten wood from sound wood. Interpretation results are presented from tests with both green and dry wood samples of cedar, hemlock, and fir.

You must be logged in to download any documents. Please login (login accounts are free) or learn how to Become a Member