基于机器视觉的异型卷烟分拣线误差自动控制方法

Automatic error control method for sorting line of irregular cigarette based on machine vision

为有效解决异型卷烟分拣困难的问题,提出一种基于机器视觉的异型卷烟分拣线误差自动控制方法。通过工业相机采集异型卷烟图像,采用数学形态学运算增加异型卷烟图像对比度,根据直方图对异型卷烟图像整体进行均衡化处理,有效保留图像信息,完成图像增强。分割目标图像,使用Gabor滤波器提取目标图像和样本图像特征,获取异型卷烟分拣线误差特征,同时标记连通域区域,根据提取的异常特征,进行分拣差错控制。实验测试结果表明,使用所提方法分拣线控制误差在0.4 mm内,控制时间在1.1 s内,可以更好地完成异型卷烟分拣。

To effectively solve the problem of difficult sorting of irregular cigarettes,a machine vision based automatic error control method for irregular cigarette sorting lines is proposed.By using industrial cameras to capture images of irregular cigarettes,mathematical morphological operations are used to increase the contrast of the irregular cigarette images.Based on histograms,the overall image of irregular cigarettes is balanced to effectively preserve image information and complete image enhancement.By segmenting the target image and using Gabor filters to extract the features of the target image and sample image,it obtains the error features of the irregular cigarette sorting line,and marks the connected domain areas.Based on the extracted abnormal features,sorting error control is carried out.The experimental test results show that using the proposed method to control the sorting line error within 0.4 mm and the control time within 1.1 s can better complete the sorting of irregular cigarettes.