期刊文献+

基于亚像素图像拼接的透明元件视觉测量方法

Visual Measurement Method for Transparent Elements Based on Sub-Pixel Image Mosaics
原文传递
导出
摘要 针对透明光学元件特征不明显以及机器视觉难以进行大视场、高精度尺寸测量的问题,提出一种基于亚像素图像拼接的视觉测量方案.该方案对相机坐标系与世界坐标系间的旋转角进行标定,获得精确的尺度因子与图像预匹配结果;图像坐标系旋转角校正后小于0.1°;通过添加网格背景实现透明元件特征匹配.所提基于滑动窗口预匹配、随机采样一致性筛选最佳偏移向量的配准算法,使图像拼接精度达到0.05 pixel,较已有研究明显提升.将该方案应用于透明光学元件视觉检测系统中,在移动精度仅为0.02 mm的条件下,获得了平均误差为0.12 pixel的图像拼接结果,实现了透明光学元件的大视场、高精度尺寸测量. A vision measurement scheme based on subpixel image stitching is proposed to solve the problems of unclear features of transparent optical elements,difficulty in the large field of view,and highprecision dimension measurement by machine vision.Furthermore,the rotation angle between the camera coordinate system and the world coordinate system is calibrated in the proposed scheme to obtain accurate scale factors and imagematching results.The rotation angle of the image coordinate system is less than 0.1°after correction.Additionally,feature matching of transparent components is achieved by adding a grid background.The proposed registration algorithm based on sliding window prematching and random sampling consistency to screen the best offset vector increases the image mosaic accuracy to attain 0.05 pixel,which is significantly improved compared with the previous studies.The scheme is applied to the vision inspection system of transparent optical elements.Under the condition that the moving accuracy is only 0.02 mm,the image mosaic result with an average error of 0.12 pixel is obtained,and the large field of view and highprecision size measurement of transparent optical elements are realized.
作者 李世林 戴松新 胡中文 季杭馨 Li Shilin;Dai Songxin;Hu Zhongwen;Ji Hangxin(Laboratory of Astronomical Spectroscopy and High Resolution Imaging,Nanjing Institute of Astronomical Optics&Technology,National Astronomical Observatories,CAS,Nanjing 210042,Jiangsu,China;School of Astronomy and Space Science,University of Chinese Academy of Sciences,Beijing 100049,China)
出处 《激光与光电子学进展》 CSCD 北大核心 2023年第6期271-277,共7页 Laser & Optoelectronics Progress
基金 国家自然科学基金(11973007,11503061,12173061) 天文专项。
关键词 机器视觉 视觉检测 透明光学元件 校正 亚像素 图像拼接 随机采样一致性 machine vision visual inspection transparent optical element calibration subpixel image mosaic random sampling consistency
  • 相关文献

参考文献6

二级参考文献59

  • 1樊庆文,王小龙,侯力,黄成祥.基于等距序列图像的快速拼接技术[J].四川大学学报(工程科学版),2005,37(1):139-142. 被引量:14
  • 2刘卫光,崔江涛,周利华.插值和相位相关的图像亚像素配准方法[J].计算机辅助设计与图形学学报,2005,17(6):1273-1277. 被引量:29
  • 3陈世哲,胡涛,刘国栋,谢凯,刘炳国,浦昭邦.基于光栅的快速精确图像拼接[J].光学精密工程,2006,14(2):242-246. 被引量:17
  • 4李为民,俞巧云,刘超.采用分离式差分标定靶的单摄像机标定方法[J].光学学报,2006,26(5):697-701. 被引量:26
  • 5SZELISKI R.Video mosaics for virtual environment[J].IEEE Computer Graphics & Application,1996,16(3):22-30.
  • 6BERT P J.Multiresolution spine with application to image mosaics[J].ACM Transaction On Graphics,1983,2(4):245-256.
  • 7ZHENG Q F,CHELLAPPA R.A computational vision approach to image registration[J].IEEE Transaction on Image Processing,1993,2(3):311-325.
  • 8LIN C F,LEE C L.An accurate method for image registration[J].Pattern Recognition and Image Analysis,2000,10(3):343-358
  • 9RAYMOND J A,MARCO G J W,JAMES T D.A rapid and automatic image registration algorithm with subpixel accuracy[J].IEEE Transactions on Medical Imaging.1997,16(3):308-316.
  • 10IRANI M.Mosaics based representation of video sequences and their applications[C].Proceeding of Computer Vision.Canbridge Massachusettes,1995.605-611.

共引文献42

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部