De-noising of digital image correlation based on stationary wavelet transform

Xiang Guo, Yulong Li, Tao Suo, Jin Liang

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

In this paper, a stationary wavelet transform (SWT) based method is proposed to de-noise the digital image with the light noise, and the SWT de-noise algorithm is presented after the analyzing of the light noise. By using the de-noise algorithm, the method was demonstrated to be capable of providing accurate DIC measurements in the light noise environment. The verification, comparative and realistic experiments were conducted using this method. The result indicate that the de-noise method can be applied to the full-field strain measurement under the light interference with a high accuracy and stability.

Original languageEnglish
Pages (from-to)161-172
Number of pages12
JournalOptics and Lasers in Engineering
Volume90
DOIs
StatePublished - 1 Mar 2017

Keywords

  • Digital image correlation
  • Light noise
  • Stationary wavelet transform

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