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Related Experiment Video

Updated: Aug 1, 2025

Using Digital Image Correlation to Characterize Local Strains on Vascular Tissue Specimens
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A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation.

Ruixiang Tang1, Wenbing Chen1, Yousong Wu1

  • 1School of Civil Engineering, Hunan University, Changsha 410082, China.

Sensors (Basel, Switzerland)
|April 28, 2023
PubMed
Summary

Edge detection algorithms offer a faster alternative to Digital Image Correlation (DIC) for structural displacement monitoring. While slightly less accurate, edge detection methods like Canny and Zernike moments provide competitive speed, especially with large displacements.

Keywords:
CannyZernike momentsdeformation testdigital image correlationdigital image processing

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Area of Science:

  • Structural Engineering
  • Image Processing
  • Computational Mechanics

Background:

  • Digital Image Correlation (DIC) is crucial for structural displacement monitoring but struggles with large displacements, increasing computation time and failure rates.
  • Existing DIC algorithms depend on accurate initial values from whole-pixel search, which can be problematic for significant deformations.

Purpose of the Study:

  • To evaluate edge detection algorithms (Canny, Zernike moments) as alternatives to DIC for structural displacement monitoring.
  • To compare the accuracy and computational speed of edge detection versus DIC across various testing conditions.

Main Methods:

  • Implemented Canny and Zernike moments for geometric fitting and sub-pixel positioning of target patterns.
  • Conducted numerical simulations, laboratory experiments, and field tests to assess performance.
  • Compared edge detection and DIC algorithms regarding accuracy, stability, and calculation speed.

Main Results:

  • Edge detection methods showed slightly lower accuracy and stability compared to DIC.
  • Edge detection algorithms (Canny, Zernike moments) demonstrated significantly faster calculation speeds than DIC.
  • DIC's computational speed decreased sharply with larger search domains, making it slower than edge detection.

Conclusions:

  • Edge detection algorithms are a viable, faster alternative to DIC for structural displacement monitoring, particularly when large displacements are anticipated.
  • While DIC offers superior accuracy and stability, its computational demands increase substantially with larger search domains, favoring edge detection in speed-critical applications.