Research on veneer correction system based on machine vision

Abstract

In the process of laminated veneer lumber, it requires manual adjustment of the position of the veneer to accurately position it, which is inaccurate and inefficient. Aiming at these problems, a veneer correction algorithm on machine vision is designed and applied to the production process of laminated veneer lumber. First, the veneer image is subjected to a preprocessing operation. Second, the canny operator is used to detect edges, and the Hough transform is used to detect veneer straight lines. Finally, the deviation angle and displacement deviation of the veneer are calculated. The experimental results show that the veneer image processing and the correction algorithm on machine vision perform well in measuring the deviation and adjusting the position of the board.