Tongmeng WANG, Fen GAO, Bing LI. Phase unwrapping technology about point diffraction interference fringe based on atrous spatial convolutional networks[J]. Optics and Precision Engineering, 2024, 32(2): 208
- Optics and Precision Engineering
- Vol. 32, Issue 2, 208 (2024)
Fig. 1. Neural network structure of ASPP-CNN
Fig. 2. Structure of ASPP
Fig. 3. Training and testing process of neural networks
Fig. 4. Loss function curve
Fig. 5. Unwrapping results of sphere
Fig. 6. Unwrapping results of random surface data
Fig. 7. Optimized unwrapping results and errors of spherical and random surfaces
Fig. 8. Wrapped phase data with simulated environmental noise and unwrapping result
Fig. 9. Point diffraction interferometry system
Fig. 10. Seven-step phase-shift interferograms collected by the point diffraction interferometry system
Fig. 11. Wrapped phase and unwrapped phase by ASPP-CNN method and 2D surface shape
Fig. 12. Surface shape， PV and RMS values obtained by ESDI interferogram analysis software
Fig. 13. Unwrapping results， 3D surface fitting results， and errors under different methods
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Table 1. Unctions and parameters of simulated datasets
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Table 2. PV， RMS values， and processing time of different methods
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