数字图像相关位移场测量的误差补偿

Translated title of the contribution: Error compensation of digital-image-correlation displacement field measurement

Zhongning Jiang, Yuanxin Luo*, Yongqin Wang, Ping Guo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The error of digital image correlation (DIC) displacement field measurement is always conflicted with the iteration times of algorithm. To reduce the calculation error, the number of iterations has to be increased, which will result in a heavy computing burden. However, the error of the non-iteration method is usually high. To solve the problem, a BP neural network-based error compensation method is proposed. The non-iteration optical flow algorithm is selected as analytical example and its error is also analyzed. The displacement measurement of a simulated speckle image and its error are used as training data. The displacement measurement result is compensated by the predicted value. The compensation experiment is carried out and it shows that the error after compensation drops by 50% and the histogram of the error is also reduced.

Translated title of the contributionError compensation of digital-image-correlation displacement field measurement
Original languageChinese (Traditional)
Pages (from-to)59-67
Number of pages9
JournalChongqing Daxue Xuebao/Journal of Chongqing University
Volume43
Issue number12
DOIs
StatePublished - Dec 2020

Keywords

  • Digital image correlation
  • Displacement field measurement
  • Error compensation
  • Neural network
  • Optical flow

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Civil and Structural Engineering
  • Materials Science (miscellaneous)
  • Electrical and Electronic Engineering

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