Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1610003(2023)

Phase Recovery of Electronic Speckle Interferometric Fringe Pattern Using Deep Learning

Fang Zhang1,3, Wenheng Li2,3, Wen Wang1,3、*, and Rui Zhao2,3
Author Affiliations
  • 1School of Life Sciences, Tiangong University, Tianjin 300387, China
  • 2School of Electronics & Information Engineering, Tiangong University, Tianjin 300387, China
  • 3Tianjin Key Laboratory of Photoelectric Detection Technology and System, Tianjin 300387, China
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    Figures & Tables(11)
    U-Net network structure
    Schematic of sub-pixel convolution upsampling
    DSSINet network structure
    USS-Net structure
    SSIF dataset examples
    ESIF dataset examples
    Schematic of phase recovery effect of SSIF dataset. (a) Simulated fringe image; (b) network output diagram; (c) true package phase value; (d) unfolding phase of network output diagram; (e) true unwrapping phase value
    Schematic of phase recovery effect of ESIF dataset. (a) Experimental fringe image; (b) network output diagram; (c) wrapped phase value obtained by four-step phase shifting method; (d) unfolding phase of network output diagram; (e) true unwrapping phase value
    Unfolded phase error analysis. (a)-(e) Phase error corresponding to the five experimental fringe patterns in Fig. 8 respectively
    • Table 1. Ablation of USS-Net

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      Table 1. Ablation of USS-Net

      Subpixel convolution moduleStructured feature enhancement moduleRMSE
      ××4.5381
      ×4.3488
      ×4.0381
      4.0310
    • Table 2. Comparison of several classical semantic segmentation networks

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      Table 2. Comparison of several classical semantic segmentation networks

      NetworkRMSENumber of parameters /106
      FCN100.2439129.2291
      ENet145.73630.3743
      DeepLabV389.167238.5404
      UperNet106.0545120.7908
      U-Net4.53817.7600
      USS-Net4.031031.5247
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    Fang Zhang, Wenheng Li, Wen Wang, Rui Zhao. Phase Recovery of Electronic Speckle Interferometric Fringe Pattern Using Deep Learning[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1610003

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    Paper Information

    Category: Image Processing

    Received: Aug. 12, 2022

    Accepted: Oct. 9, 2022

    Published Online: Aug. 15, 2023

    The Author Email: Wang Wen (wangwen@tiangong.edu.cn)

    DOI:10.3788/LOP222277

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