Author Affiliations
Hubei Key Laboratory of Ferro & Piezoelectric Materials and Devices, School of Microelectronics, Hubei University, Wuhan 430062, Hubei, Chinashow less
Fig. 1. Diagrammatic sketch of FTP system
Fig. 2. Diagrammatic sketch of improved Goldstein branch-cut algorithm, the numbers represent weights of edges. (a) Example of weighted bipartite graph; (b) example of perfect matching
Fig. 3. Measured object, deformed fringe pattern, and wrapped phase map. (a) Measured object; (b) deformed fringe pattern; (c) wrapped phase map
Fig. 4. Distribution of residues and branch-cuts. (a) Residues distribution; (b) branch-cuts obtained by Goldstein branch-cut algorithm; (c) branch-cuts obtained by proposed algorithm
Fig. 5. Contrast results. (a) Reconstructed result obtained by flood-fill algorithm; (b) reconstructed result obtained by Goldstein branch-cut algorithm; (c) reconstructed result obtained by proposed algorithm
Fig. 6. Setup of the experiment
Fig. 7. Fringe patterns. (a) Reference fringe pattern; (b) deformed fringe pattern
Fig. 8. Wrapped phase map and reconstructed result obtained by flood-fill algorithm. (a) Wrapped phase map; (b) reconstructed result
Fig. 9. Distribution of residues and branch-cuts. (a) Residues distribution; (b) branch-cuts obtained by Goldstein branch-cut algorithm; (c) branch-cuts obtained by proposed algorithm
Fig. 10. Contrast results. (a) Reconstructed result obtained by Goldstein branch-cut algorithm; (b) reconstructed result obtained by proposed algorithm
Fig. 11. Reconstruction experiment of donkey face model. (a) Donkey face model; (b) deformed fringe pattern; (c) wrapped phase map; (d) branch-cuts obtained by Goldstein branch-cut algorithm; (e) branch-cuts obtained by proposed algorithm; (f) reconstructed result obtained by flood-fill algorithm; (g) reconstructed result obtained by Goldstein branch-cut algorithm; (h) reconstructed result obtained by proposed algorithm
Fig. 12. Reconstruction experiment results of bear. (a) Deformed fringe pattern; (b) wrapped phase map; (c) branch-cuts obtained by Goldstein branch-cut algorithm; (d) branch-cuts obtained by proposed algorithm; (e) reconstructed result obtained by Goldstein branch-cut algorithm; (f) reconstructed result obtained by proposed algorithm
Algorithm | Length of branch-cuts /pixel | RMSE /mm | Time /s |
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Goldstein branch-cut algorithm | 239 | 0.6329 | 0.0674 | Proposed algorithm | 89 | 0.4041 | 0.0378 |
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Table 1. Comparison of RMSE, length of branch-cuts, and time for the various algorithms
Algorithm | RMSE /mm |
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Gaussian noise with a standard deviation 1 | Gaussian noise with a standard deviation 3 | Gaussian noise with a standard deviation 5 |
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Goldstein branch-cut algorithm | 0.0677 | 0.6329 | 1.6118 | Proposed algorithm | 0.0677 | 0.4041 | 0.8070 |
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Table 2. RMSE of Goldstein branch-cut algorithm and proposed algorithm under different noises