基于机器视觉的卷烟端面圆度评价方法研究
1. 河南中烟工业有限责任公司, 河南郑州 450000
2. 中国计量大学, 计量测试与仪器学院, 浙江杭州 310018
3. 中国烟草总公司郑州烟草研究院, 河南郑州 450001
| 摘 要： | 卷烟圆度是烟草工业中重要的质量参数，为解决传统行业圆度测量方法费时费力且结果不准确的问题，提出了一种基于最小二乘法的非接触式卷烟圆度评价方法对卷烟端面圆度进行评价，所述方法首先通过Canny算子初步识别边缘，然后使用形态学闭运算将边缘毛刺消除后再通过连通性分析将边缘内部填充，最后利用Sobel算子识别最终边缘。对处理后的图像使用最小二乘法拟合出卷烟端面轮廓的拟合圆，通过对得到的拟合圆进行计算得到卷烟端面圆度的计算结果，由于计算结果为像素距，需要转换为实际尺寸，采用像素当量标定法确定转换系数，最终得到卷烟端面的圆度。实验结果表明，机器视觉测量得到的结果相对误差小于2%，说明该方法可以有效的对卷烟端面圆度进行评价。 |
| 关 键 词： | 机器视觉; 卷烟圆度检测; 最小二乘法; 非接触式; 图像处理算法 |
| DOI： | 10.57237/j.se.2024.03.001 |
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收稿日期: 2024-04-02
接受日期: 2024-04-30
在线出版日期: 2024-05-23
Research on the Evaluation Method of Cigarette End Roundness Based on Machine Vision
1. China Tobacco Henan Industiral Co., Zhengzhou 450000,
2. College of Metrology Measurement and Instrument, China Jiliang University, Zhengzhou 310018,
3. Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou 450001, China
| Abstract: | Cigarette roundness is an important quality parameter in the tobacco industry. In order to solve the problem that traditional industry roundness measurement methods are time-consuming, laborious and inaccurate, a non-contact cigarette roundness evaluation method based on the least squares method is proposed to evaluate the cigarette end roundness. To evaluate the accuracy, the method first initially identifies the edge through the Canny operator, then uses the morphological closing operation to eliminate the edge burrs, then fills the inside of the edge through connectivity analysis, and finally uses the Sobel operator to identify the final edge. Use the least squares method on the processed image to fit the fitting circle of the cigarette end face contour. By calculating the obtained fitting circle, the calculation result of the cigarette end face roundness is obtained. Since the calculation result is a pixel distance, it needs to be converted into the actual size, using the pixel equivalent calibration method to determine the conversion coefficient, and finally obtain the roundness of the cigarette end face. The experimental results show that the relative error of the results obtained by machine vision measurement is less than 2%, indicating that this method can effectively evaluate the roundness of the end face of cigarettes. |
| Keywords: | Machine Vision; Cigarette Roundness Detection; Least Squares Method; Non Contact Type; Image Processing |
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