Defect-oriented ultrasonic three-dimensional imaging method

Luhang Liu, Shiyuan Zhou, Chong Zhen, Long Cheng, Can Zhao, Yonghong Wang, Chun Guang Xu

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

Abstract

Ultrasonic 3D imaging technology is helpful to visually display the shape and distribution of defects, but when the amount of ultrasonic data is large, the 3D imaging reconstruction of non-defect parts waste computer performance, resulting in slow imaging speed. According to the sparseness of the mapped volume data, a moving cube algorithm based on bounding box is proposed for 3D reconstruction. The above algorithm was verified by experiments. The experimental results show that the improved moving cube algorithm can improve the time of reducing the three-dimensional imaging of ultrasound and improve the drawing speed.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE Far East NDT New Technology and Application Forum, FENDT 2021
EditorsChunguang Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages213-217
Number of pages5
ISBN (Electronic)9781665401593
DOIs
Publication statusPublished - 2021
Event2021 IEEE Far East NDT New Technology and Application Forum, FENDT 2021 - Kunming, China
Duration: 15 Dec 202116 Dec 2021

Publication series

NameProceedings of 2021 IEEE Far East NDT New Technology and Application Forum, FENDT 2021

Conference

Conference2021 IEEE Far East NDT New Technology and Application Forum, FENDT 2021
Country/TerritoryChina
CityKunming
Period15/12/2116/12/21

Keywords

  • algorithm
  • three-dimensional imaging
  • ultrasonic

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