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 |
| DOI: | 10.57237/j.se.2024.03.001 |
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Received: 2 April 2024
Accepted: 30 April 2024
Published Online: 23 May 2024
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