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Moiré interferogram phase extraction: a ridge detection algorithm for continuous wavelet transforms.

Heng Liu1, Alexander N Cartwright, Cemal Basaran

  • 1Electronic Packaging Laboratory, the State University of New York, Buffalo, New York 14260, USA.

Applied Optics
|February 13, 2004
PubMed
Summary
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This study introduces a new method using continuous wavelet transforms (CWTs) for precise phase extraction from moiré interferograms, improving moiré interferometry sensitivity for detailed strain analysis.

Area of Science:

  • Optical Metrology
  • Signal Processing
  • Materials Science

Background:

  • Moiré interferometry is a powerful technique for measuring in-plane displacement and strain.
  • Accurate phase extraction from interferograms is crucial for quantitative analysis.
  • Traditional methods can be sensitive to noise and computationally intensive.

Purpose of the Study:

  • To develop a robust and computationally efficient procedure for phase extraction from moiré interferograms.
  • To improve the sensitivity and accuracy of moiré interferometry.
  • To enable pixel-by-pixel in-plane strain distribution mapping.

Main Methods:

  • Utilizing continuous wavelet transforms (CWTs) to analyze moiré interferogram phase information.
  • Implementing a cost function for adaptive ridge selection in the CWT magnitude map.

Related Experiment Videos

  • Applying dynamic programming optimization for computationally inexpensive ridge detection.

    • Main Results:

    • Demonstrated accurate and smooth phase extraction from actual moiré interferograms.
    • Validated the effectiveness of the proposed ridge detection algorithm.
    • Achieved improved sensitivity in moiré interferometry.

    Conclusions:

    • The proposed CWT-based procedure offers a reliable and efficient method for phase extraction.
    • The technique enhances the capability of moiré interferometry for precise strain measurement.
    • This advancement facilitates detailed in-plane strain distribution mapping.