TY - JOUR
T1 - Lens rim points stitching algorithm based coaxial alignment micro assembly
AU - Zhang, Heng
AU - Ye, Xin
AU - Yu, Xinhai
AU - Shao, Chao
AU - Wu, Feifei
AU - Zhao, Yijin
AU - Wang, Lei
N1 - Publisher Copyright:
© 2019 IOP Publishing Ltd.
PY - 2019/9/2
Y1 - 2019/9/2
N2 - Optical lens assemblies are used more and more widely, and assembly and alignment processes are key to affecting lens accuracy. Considering that the common way of assembling lenses was manual, the coaxial alignment for intermediate-scale parts was considered to be a good alternative, which could improve the accuracy of assembly effectively. But it was difficult to capture the full edge of the lens in one image because of the limit of the CCD camera field of view. To solve this problem, a rim points stitching algorithm was proposed, and the barrel and lens were imaged by the camera at three different position. After the rim points were extracted from the three images, all the rim points were stitched according to the position of the camera at three locations. The rim points stitched were fitted to two circles by using the least squares method. Finally, according to the adjustment algorithm, the adjustment amount of the lens with respect to the lens barrel was calculated. Experimental results showed that this method could align lenses with the diameter greater than 60mm. The technique has the potential to be applied in automated alignment of lens assemblies.
AB - Optical lens assemblies are used more and more widely, and assembly and alignment processes are key to affecting lens accuracy. Considering that the common way of assembling lenses was manual, the coaxial alignment for intermediate-scale parts was considered to be a good alternative, which could improve the accuracy of assembly effectively. But it was difficult to capture the full edge of the lens in one image because of the limit of the CCD camera field of view. To solve this problem, a rim points stitching algorithm was proposed, and the barrel and lens were imaged by the camera at three different position. After the rim points were extracted from the three images, all the rim points were stitched according to the position of the camera at three locations. The rim points stitched were fitted to two circles by using the least squares method. Finally, according to the adjustment algorithm, the adjustment amount of the lens with respect to the lens barrel was calculated. Experimental results showed that this method could align lenses with the diameter greater than 60mm. The technique has the potential to be applied in automated alignment of lens assemblies.
UR - http://www.scopus.com/inward/record.url?scp=85072571922&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1303/1/012091
DO - 10.1088/1742-6596/1303/1/012091
M3 - Conference article
AN - SCOPUS:85072571922
SN - 1742-6588
VL - 1303
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012091
T2 - 2nd International Conference on Mechanical, Electric and Industrial Engineering, MEIE 2019
Y2 - 25 May 2019 through 27 May 2019
ER -