{"title":"Automatic concentricity measurement by image processing","authors":"Hsieh Chen-Huei, Huang Yue-Wei, Wu Menq-Jiun","doi":"10.1109/IMTC.1994.351975","DOIUrl":null,"url":null,"abstract":"Responding to the market demand for high quality and production limited quantity and variety, the automation technology of flexible manufacturing system or computer manufacture system has been developed. During the automated manufacturing, the instability of product quality depends to some degree on different precision of machine tool, qualification of operators and manufacturing technology. In addition, the utilization of traditional manual measurement or off-line contact quality inspection reduce productivity. Therefore, the technology of non-contact on-line product quality inspection is becoming a very important research issue. This report focuses on the setup of non-contact automatic measurement of concentricity by applying personal computer and image processing technologies. LOG and zero-crossing method are used to complete image edge detection. Then curve-fitting is applied to generate the inner circle and outer circle of mechanical parts. Subsequently, the coordinate of edge points of the inner and outer circles, together with the least-square error method, will be applied to estimate the concentricity of the mechanical part waiting for inspection. Comparison of the result of experiment with the data measured by a FEDERAL high-precision roundest equipment indicates that the proposed system exhibits good repeatability and accuracy.<<ETX>>","PeriodicalId":231484,"journal":{"name":"Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.1994.351975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Responding to the market demand for high quality and production limited quantity and variety, the automation technology of flexible manufacturing system or computer manufacture system has been developed. During the automated manufacturing, the instability of product quality depends to some degree on different precision of machine tool, qualification of operators and manufacturing technology. In addition, the utilization of traditional manual measurement or off-line contact quality inspection reduce productivity. Therefore, the technology of non-contact on-line product quality inspection is becoming a very important research issue. This report focuses on the setup of non-contact automatic measurement of concentricity by applying personal computer and image processing technologies. LOG and zero-crossing method are used to complete image edge detection. Then curve-fitting is applied to generate the inner circle and outer circle of mechanical parts. Subsequently, the coordinate of edge points of the inner and outer circles, together with the least-square error method, will be applied to estimate the concentricity of the mechanical part waiting for inspection. Comparison of the result of experiment with the data measured by a FEDERAL high-precision roundest equipment indicates that the proposed system exhibits good repeatability and accuracy.<>
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图像处理自动同心度测量
针对市场对高质量和有限数量、品种生产的需求,柔性制造系统或计算机制造系统的自动化技术得到了发展。在自动化制造过程中,产品质量的不稳定性在一定程度上取决于机床的精度、操作人员的素质和制造工艺。此外,利用传统的人工测量或离线接触式质量检测降低了生产率。因此,非接触式在线产品质量检测技术成为一个非常重要的研究课题。本文介绍了应用个人计算机和图像处理技术实现非接触式同心度自动测量的方法。利用LOG和过零法完成图像边缘检测。然后采用曲线拟合的方法生成机械零件的内圆和外圆。然后,利用内外圆边缘点的坐标,结合最小二乘误差法估计待检机械零件的同心度。实验结果与联邦高精度圆弧仪测量数据的比较表明,所提出的系统具有良好的重复性和准确性。
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