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O形密封圈尺寸视觉精密测量技术

陈里里 廖强

陈里里, 廖强. O形密封圈尺寸视觉精密测量技术[J]. 西南交通大学学报, 2013, 26(1): 122-128. doi: 10.3969/j.issn.0258-2724.2013.01.019
引用本文: 陈里里, 廖强. O形密封圈尺寸视觉精密测量技术[J]. 西南交通大学学报, 2013, 26(1): 122-128. doi: 10.3969/j.issn.0258-2724.2013.01.019
CHEN Lili, LIAO Qiang. Vision-Based Precision Measurement Technology for O-Ring Seal Size[J]. Journal of Southwest Jiaotong University, 2013, 26(1): 122-128. doi: 10.3969/j.issn.0258-2724.2013.01.019
Citation: CHEN Lili, LIAO Qiang. Vision-Based Precision Measurement Technology for O-Ring Seal Size[J]. Journal of Southwest Jiaotong University, 2013, 26(1): 122-128. doi: 10.3969/j.issn.0258-2724.2013.01.019

O形密封圈尺寸视觉精密测量技术

doi: 10.3969/j.issn.0258-2724.2013.01.019
基金项目: 

重庆市自然科学基金资助项目(CSTC2006BB3176)

重庆市科技攻关计划资助项目(CSTC2008AC3026)

详细信息
    通讯作者:

    廖强(1963-),男,博士,教授,研究方向为机器视觉测量技术,电话:023-65105561,E-mail:lq922@163.com

Vision-Based Precision Measurement Technology for O-Ring Seal Size

  • 摘要: 针对现有O形密封圈尺寸测量方法的局限性,设计基于主动视觉的精密检测方法,并对快速自动调焦、亚像素边缘检测、边缘点拟合技术进行了研究。将快速自动调焦过程分为3个阶段,使用大步长和方差函数,结合灰度切割对比度增强与中值滤波,完成粗调焦;使用小步长和Tenengrad函数,完成细调焦;采用Brenner函数和微步距完成高灵敏度调焦.用Zernike矩算法对边缘点进行亚像素定位,并采用面积最小误差法拟合边缘点,求取O形密封圈的内径、外径.实验结果表明:本文方法经过16步搜索,在15 s内可自动完成调焦;与传统方法相比,通过亚像素提取,能将内外径测量结果达到微米级,满足O形密封圈测量需求.

     

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出版历程
  • 收稿日期:  2011-04-19
  • 刊出日期:  2013-02-25

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