Study on cigarette surface defect detection method based on linear structured light scanning
In order to solve the problem of traditional two-dimensional image methods being unable to obtain depth information during surface detection of cigarettes,a new detection method based on rotary scanning of linear structured light sensor was proposed. The cigarette is rotated by the rotation of two rolling wheels in the same direction. The linear structured light vision sensor was used to obtain the axial contour of the object,the random sampling consistency was used to fit the contour,and the distance between the original point and the fitted contour was calculated to judge the defect point. The original data obtained from a certain brand cigarette during the detection process were selected,and the kappa value of multiple groups of samples reached 0.97,with repeatability reaching 99.3％. The study provides reference for the subsequent detection of cigarette defects.
linear structured light vision sensorcigaretterandom sampling conformanceline fitting
万方数据
维普
