TY - GEN
T1 - Displacement measurement of micro-nano flexible mechanism based on vision
AU - Zhang, Yixi
AU - Li, Jiangang
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, for the problem that micro-visual measurement is more easily interfered with by light and noise, and measurement is easily limited by camera resolution and cost, a measurement algorithm combining polynomial interpolation+Gaussian interpolation edge subpixel algorithm and adaptive improved SIFT algorithm is proposed, which combines the advantages of polynomial interpolation+Gaussian interpolation edge subpixel algorithm with the high robustness and strong anti-interference of feature points and the advantages of adaptive improved SIFT algorithm with high measurement accuracy. This algorithm ensures the precision and speed of measurement while reducing light noise and light influence. At the same time, a BP neural network correction algorithm is designed to correct the results further to compensate for specific effects caused by lens distortion, to make the accuracy higher. Finally, relevant experiments are designed to prove that this method can be applied to micro-displacement visual displacement measurement.
AB - In this paper, for the problem that micro-visual measurement is more easily interfered with by light and noise, and measurement is easily limited by camera resolution and cost, a measurement algorithm combining polynomial interpolation+Gaussian interpolation edge subpixel algorithm and adaptive improved SIFT algorithm is proposed, which combines the advantages of polynomial interpolation+Gaussian interpolation edge subpixel algorithm with the high robustness and strong anti-interference of feature points and the advantages of adaptive improved SIFT algorithm with high measurement accuracy. This algorithm ensures the precision and speed of measurement while reducing light noise and light influence. At the same time, a BP neural network correction algorithm is designed to correct the results further to compensate for specific effects caused by lens distortion, to make the accuracy higher. Finally, relevant experiments are designed to prove that this method can be applied to micro-displacement visual displacement measurement.
UR - https://www.scopus.com/pages/publications/85128188533
U2 - 10.1109/ROBIO54168.2021.9739453
DO - 10.1109/ROBIO54168.2021.9739453
M3 - 会议稿件
AN - SCOPUS:85128188533
T3 - 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
SP - 1537
EP - 1544
BT - 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Robotics and Biomimetics, ROBIO 2021
Y2 - 27 December 2021 through 31 December 2021
ER -