Stationary wavelet transform based on de-noising of digital image correlation in the investigation on the impact response

Xiang Guo, Yulong Li, Tao Suo, Zhongbin Tang, Yinggang Miao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a method for removing image noise form images captured during the impact experiment for the DIC measurement. This paper focuses on estimating the light noise from captured images taken by the deformation during the impact. An image enhanced method based on stationary wavelet transform was employed to improve the stability and accuracy in the DIC measurement. The proposed method was investigated under the impact experiment. The experiment results show that overall the stability and accuracy of the proposed method was improved.

Original languageEnglish
Title of host publicationProceedings of the 9th International Symposium on Impact Engineering
Subtitle of host publicationRecent Advances in Impact Engineering
EditorsWoei-Shyan Lee, I-Ling Chang, Shou-Hung Chang
PublisherTrans Tech Publications Ltd
Pages128-132
Number of pages5
ISBN (Print)9783038355601
DOIs
StatePublished - 2016
Event9th International Symposium on Impact Engineering, ISIE 2016 - Tainan, Taiwan, Province of China
Duration: 5 Sep 20169 Sep 2016

Publication series

NameKey Engineering Materials
Volume715
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795

Conference

Conference9th International Symposium on Impact Engineering, ISIE 2016
Country/TerritoryTaiwan, Province of China
CityTainan
Period5/09/169/09/16

Keywords

  • Deformation measurement
  • Digital image correlation
  • Image enhancement
  • Impact

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