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基于机器视觉的包装机械贴标功能实现
引用本文:刘定操.基于机器视觉的包装机械贴标功能实现[J].包装工程,2019,40(17):199-203.
作者姓名:刘定操
作者单位:河南经贸职业学院,郑州,450000
摘    要:目的 为了提高包装机械贴标工序的自动化程度和贴标速度、精度,设计一种贴标控制系统。方法 基于机器视觉设计一种贴标控制系统。该系统主要包括PC机、工业相机、视觉处理模块、运动控制模块、打印机、贴标机、标签检测模块等。重点论述图像处理算法,其中柔性形态学滤波和边缘检测用于贴标区域识别和定位;模板匹配则用于检测标签的平整度和倾斜度。最后,针对正方体包装纸盒、圆形包装纸盒、不规则包装纸盒进行试验研究。结果 实验结果表明,所述贴标系统平均正标率均在99%以上。结论 基于机器视觉的包装机械贴标系统能够满足包装要求,而且可以提高包装机械的自动化水平、提高包装效率、降低企业成本。

关 键 词:机器视觉  贴标  形态学滤波  边缘检测  模板匹配
收稿时间:2019/3/26 0:00:00
修稿时间:2019/9/10 0:00:00

Packaging Machinery Labeling Function Realized Based on Machine Vision
LIU Ding-cao.Packaging Machinery Labeling Function Realized Based on Machine Vision[J].Packaging Engineering,2019,40(17):199-203.
Authors:LIU Ding-cao
Affiliation:Henan Institute of Economics and Trade, Zhengzhou 450000, China
Abstract:The work aims to design a labeling control system, so as to improve the automation degree, labeling speed and precision of packaging machinery labeling process. A labeling control system was designed based on machine vision which mainly included PC, industrial camera, visual processing module, motion control module, printer, labeling machine, label detection module, etc. The image processing algorithm was emphasized, in which the soft morphological filtering and edge detection were used for labeling region recognition and location. Template matching was used to detect the flatness and inclination of labels. Finally, an experimental study was carried out with cube, round and irregular packaging cartons as research objects. Experimental results showed that, the average positive calibration rate of the proposed labeling system was above 99%. The labeling system of packaging machinery based on machine vision can meet the packaging requirements, improve the automation level of packaging machinery, enhance packaging efficiency and reduce enterprise costs.
Keywords:machine vision  labeling  morphological filtering  edge detection  template matching
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