[1]徐智涵,袁道成,李璐璐.基于双目图像融合的孔轴配合间隙监视[J].计算机技术与发展,2021,31(08):169-175.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 029]
　XU Zhi-han,YUAN Dao-cheng,LI Lu-lu.Inspection of Hole-shaft Assembly Clearance Based onBinocular Image Fusion[J].,2021,31(08):169-175.[doi:10. 3969 / j. issn. 1673-629X. 2021. 08. 029]
点击复制

基于双目图像融合的孔轴配合间隙监视()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年08期
页码:
169-175
栏目:
应用前沿与综合
出版日期:
2021-08-10

文章信息/Info

Title:
Inspection of Hole-shaft Assembly Clearance Based onBinocular Image Fusion
文章编号:
1673-629X(2021)08-0169-07
作者:
徐智涵; 袁道成; 李璐璐
中国工程物理研究院 机械制造工艺研究所,四川 绵阳 621000
Author(s):
XU Zhi-han; YUAN Dao-cheng; LI Lu-lu
Institute of Machinery Manufacturing Technology,China Academy of Engineering Physics,Mianyang 621000,China
关键词:
孔轴配合; 图像融合; 不变量; 图像重映射; 单纯形搜索法; 视觉监视
Keywords:
hole-shaft assembly; image fusion; invariance; image remap; simplex search; visual inspection
分类号:
TP29;TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 08. 029
摘要:
孔轴配合常见于工业制造业的生产活动中,实现装配自动化、提升装配效率需要以视觉监视技术作为支撑。 该文提出一种基于双目图像融合的孔轴配合间隙监视技术。 通过融合双目视觉系统在两个视角下拍摄的孔轴配合图像,可以有效解决单视角下的图像遮挡和视场受限问题,从而有效消除视场盲区。 虚拟交线指的是轴件与圆孔支撑平面之间的交线,该交线在图像上并不可见。 在获得双目融合图像后,通过构造并提取图像中二次曲线相切不变量,结合 Nelder-Mead单纯形搜索法对虚拟交线几何参数进行迭代优化,迭代优化后的虚拟交线与圆孔边缘轮廓间的相对位置关系反映了该平面上完整的孔轴配合间隙。 实验结果表明,提出的方法可以对配合间隙为 0. 5 mm 及以下的孔轴配合过程进行监视。
Abstract:
Hole-shaft assembly is common in the manufacturing industry. It takes visual inspection as a support to implement assembly automation and improve efficiency of assembly. We propose a vision-based method involving the fusion of binocular images to inspect clearance between the hole and the shaft. The problem of image occlusion and restricted field of view would be solved by fusing two images captured under dual perspectives, and the blind zone could also be reduced. The virtual intersection between the shaft and the supporting plane of the hole is invisible in images. After creating and extracting the invariance of tangence in the fused image,? ? the geometric parameters of the virtual intersection could be optimized through the Nelder-Mead method. And then,the virtual intersection and the contour of the hole could present complete information about the clearance between the hole and the shaft in the supporting plane. The experiment shows that the proposed method can inspect the hole-shaft assembly process with the clearance 0. 5 mm or below.

相似文献/References:

[1]杨亚 王铮 张素兰 郭飞飞.基于小波变换的多聚焦图像融合[J].计算机技术与发展,2010,(03):56.
　YANG Ya,WANG Zheng,ZHANG Su-lan,et al.Multi - focus Image Fusion Scheme Based on Wavelet Transform[J].,2010,(08):56.
[2]冉柯柯 王继成.基于比值法图像拼接的等比例改进算法[J].计算机技术与发展,2010,(02):5.
　RAN Ke-ke,WANG Ji-cheng.An Improved Mosaic Algorithm Based on Ratio Matching Using Geometric Proportion[J].,2010,(08):5.
[3]焦晶萍 廖文和 沈建新.一种基于模板匹配法的眼底图像拼接方法[J].计算机技术与发展,2010,(04):148.
　JIAO Jing-ping,LIAO Wen-he,SHEN Jian-xin.A Fundus Image Mosaic Method Based on Template Matching[J].,2010,(08):148.
[4]玄立超 谢亦才.一种新的基于Curvelet变换的遥感图像融合算法[J].计算机技术与发展,2009,(05):119.
　XUAN Li-chao,XIE Yi-cai.A New Remote Sensing Image Fusion Algorithm Based on Curvelet Transform[J].,2009,(08):119.
[5]田闯 刘文波.基于Curvelet变换多聚焦图像融合[J].计算机技术与发展,2008,(07):29.
　TIAN Chuang,LIU Wen-bo.Multifocus Image Fusion Using Curvelet Transform[J].,2008,(08):29.
[6]杨晓慧 朱秀阁.基于非下采样Contourlets的CT／MRI图像自适应融合[J].计算机技术与发展,2008,(12):116.
　YANG Xiao-hui,ZHU Xiu-ge.Adaptive CT/MRI Image Fusion Based on Nonsubsampled Contourlets[J].,2008,(08):116.
[7]刘凯峰 张德祥.基于小波变换区域方差的遥感图像融合新算法[J].计算机技术与发展,2007,(05):177.
　LIU Kai-feng,ZHANG De-xiang.A New Fusion Algorithm of Remote Sensing Image Based on Local Deviation of Wavelet Transform[J].,2007,(08):177.
[8]舒坚 胡茂林.空间频率图像的智能融合[J].计算机技术与发展,2006,(03):37.
　SHU Jian,HU Mao-lin.Intelligent Fusion of Image in Spatial Frequency[J].,2006,(08):37.
[9]冯太平 闫仁武.基于非抽样Contourlet变换的多聚焦图像融合算法[J].计算机技术与发展,2012,(02):57.
　FENG Tai-ping,YAN Ren-wu.Multi-Focus Image Fusion Algorithm Based on Nonsubsampled Contourlet Transform[J].,2012,(08):57.
[10]魏世超 段先华 夏加星.基于Sobel算子和局部能量的图像融合新算法[J].计算机技术与发展,2012,(04):61.
　WEI Shi-chao,DUAN Xian-hua,XIA Jia-xing.Novel Image Fusion Algorithm Based on Sobel Operator and Region Energy[J].,2012,(08):61.

更新日期/Last Update: 2021-08-10