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
- Laser & Optoelectronics Progress
- Vol. 60, Issue 16, 1610003 (2023)
Fig. 1. U-Net network structure
Fig. 2. Schematic of sub-pixel convolution upsampling
Fig. 3. DSSINet network structure
Fig. 4. USS-Net structure
Fig. 5. SSIF dataset examples
Fig. 6. ESIF dataset examples
Fig. 7. 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
Fig. 8. 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
Fig. 9. Unfolded phase error analysis. (a)-(e) Phase error corresponding to the five experimental fringe patterns in Fig. 8 respectively
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Table 1. Ablation of USS-Net
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Table 2. Comparison of several classical semantic segmentation networks
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