A computer vision system for lumber production planning

Abstract

A computer vision-based system for lumber production planning is described. Computer axial tomography (CT or CAT) images of hardwood logs are analyzed for identification and classification of internal log defects. Individual CT image slices are analyzed for detection of 2-D defects which are correlated across CT image slices in order to establish 3-D support and identify true 3-D defects. Currently, the system is capable of 3-D reconstruction and rendering of the log and its internal defects from the individual CT image slices. It is also capable of simulation and rendering of key machining operations such as sawing and veneering on the 3-D reconstructions of the logs. From the 3-D reconstruction of the log and knowledge of its internal defects, the system can formulate sawing strategies to optimize the yield and grade of the resulting lumber. The system is intended as a decision aid for lumber production planning and an interactive training tool for novice sawyers and machinists.