文章摘要
杨华.基于Sobel算法的塑料袋边缘位置标定[J].包装工程,2021,42(23):178-182.
YANG Hua.Position Location of Plastic Bag Edge Based on Sobel Algorithm[J].Packaging Engineering,2021,42(23):178-182.
基于Sobel算法的塑料袋边缘位置标定
Position Location of Plastic Bag Edge Based on Sobel Algorithm
投稿时间:2021-04-22  
DOI:10.19554/j.cnki.1001-3563.2021.23.025
中文关键词: 机器视觉  塑料袋装容器  Sobel 算法  优化分析
英文关键词: machine vision  plastic bag container  Sobel algorithm  optimization analysis
基金项目:
作者单位
杨华 呼伦贝尔职业技术学院内蒙古 呼伦贝尔 021000 
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中文摘要:
      目的 对现有塑料袋装容器的外边缘轮廓进行精确定位,保证透明包装容器的外边缘轮廓在日常生产中可应用。方法 机器视觉塑料袋装容器检测系统依据图像信息收集、识别算法、sobel算法、位置标定、SVM结果对比等部分,确定透明包装边缘标定核心算法要点,在传统频域变换的基础上,进行sobel算法改进算法分析,有效提高对塑料袋装容器的外边缘轮廓识别率,明确该类包装的检测要点。以实际的液体透明医用包装袋为例,论证该类包装外边缘的特征提取方法,并且强化该包装边缘的视觉特征,最后进行SVM结果对照实验。结果 对照结果表明,该视觉方式可以实现对机器视觉的塑料袋装容器标定,精准率可以达到94%,对于机械手10%的边缘标定精确度是可以适用的。结论 基于该sobel算法以及优化措施,确定了机器视觉塑料袋装容器标定方式,满足了塑料袋装容器生产的有效定位要求。
英文摘要:
      The work aims to accurately locate the outer edge contour of the existing plastic bag container, so as to ensure that the outer edge contour of the transparent packaging container can be applied in daily production. According to the image information collection, recognition algorithm, Sobel algorithm, position calibration, SVM results comparison and other parts, the machine vision detection system for plastic bag container determined the key points of the transparent packaging edge calibration algorithm. Based on the traditional frequency domain transformation, Sobel algorithm was improved for analysis, to effectively improve the recognition rate for the outer edge contour of the plastic bag container, and clarify the detection points of this kind of packaging. With the actual liquid transparent medical packaging bag as an example, the feature extraction method of the outer edge of the packaging was demonstrated, and the vision characteristics of the packaging edge were strengthened. Finally, the SVM results were compared with the experimental results. This vision method realized a calibration accuracy of 94% for the plastic bag container by the machine vision and was applicable to 10% of edge calibration accuracy of manipulator. Based on the Sobel algorithm and optimization measures, the calibration method of plastic bag container by machine vision is determined, which meets the requirements of effective positioning of plastic bag container production.
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