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  1. Home
  3. A Fringe Phase Extraction Method Based On Neural Network.
  1. Home
  3. A Fringe Phase Extraction Method Based On Neural Network.

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A Fringe Phase Extraction Method Based on Neural Network.

Wenxin Hu1, Hong Miao2, Keyu Yan1

  • 1Shenzhen Key Laboratory of Intelligent Optical Measurement and Detection, College of Physics and Optoelectronic Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen 518060, China.

Sensors (Basel, Switzerland)
|March 6, 2021

View abstract on PubMed

Summary
This summary is machine-generated.

This study introduces a novel neural network method for fringe phase extraction in optical metrology. The U-net based approach simplifies processing and achieves accurate, robust results faster than traditional techniques.

Keywords:
U-net neural networkfringe patternphase extractionwarped phase map

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Area of Science:

  • Optical metrology
  • Image processing
  • Artificial intelligence

Background:

  • Fringe patterns are crucial in optical metrology for parameter extraction.
  • Traditional methods like phase-shifting and wavelet transform have limitations in speed and complexity.
  • Deep learning offers potential for more efficient fringe analysis.

Purpose of the Study:

  • To propose a simplified, end-to-end neural network method for fringe phase extraction.
  • To demonstrate the accuracy and robustness of the proposed method using simulations and experiments.
  • To compare the method's performance against existing techniques.

Main Methods:

  • Utilizing a U-net neural network architecture for direct fringe pattern to phase map learning.
  • Training the network on simulated and experimental fringe patterns.
  • Evaluating accuracy, robustness, operational simplicity, and speed.

    • Main Results:

    • The U-net method directly learns the fringe gray level to wrapped phase map correspondence.
    • Simulations and experimental results confirm the method's accuracy and robustness.
    • The proposed method is simpler and faster than traditional phase-shifting and wavelet transform techniques.

    Conclusions:

    • The end-to-end U-net based fringe phase extraction method is accurate and robust.
    • This approach offers a simpler and faster alternative to conventional optical metrology techniques.
    • The method shows significant potential for advancing fringe analysis in optical measurements.