Research on cigarette size detection based on machine vision

In order to realize the inspection of cigarette appearance size, an online inspection method based on machine vision is proposed to realize the intersection inspection of cigarette outer diameter, cigarette total length and tipping paper length. The weighted average method is used to grayize the image to remove useless parts and reduce the size of the original image collected; The noise points in the image are removed by bilateral filtering to reduce the error of edge extraction, and the image is binarized by the maximum variance between classes method; The improved Canny operator is used to extract the contour of cigarette image, and the least square method is used to fit the pixel size; By calibrating the dimensions of the standard parts, the cigarette outline measurement dimensions are obtained. The experimental object is a cigarette with a length of 84mm and a diameter of 7.7mm. This method has the characteristics of high efficiency and high accuracy, and has high practical value. Through experiments, this method can quickly detect the appearance size of cigarettes, and the detection accuracy is higher than 99.5%, meeting the detection standard requirements of actual production.