Research Article
Feature-Based Retinal Image Registration Using D-Saddle Feature
Table 5
Details of success rate and registration accuracy of successful registration for GDB-ICP, Harris-PIIFD, H-M, Saddle, and D-Saddle in FIRE dataset.
| Methods | Nsuccess | Success rate (%) | Registration accuracy (TRE) of successful registration (pixels) | Std. deviation of all pairs | Mean | 95% confidence interval of the mean | Min | Max | Lower | Upper |
| Overall | GDB-ICP | 37 | 28% | 1.988 | 1.566 | 2.411 | 0.486 | 4.952 | 1.479 | Harris-PIIFD | 5 | 4% | 2.573 | 0.571 | 4.576 | 0.785 | 4.244 | 365.754 | H-M | 22 | 16% | 1.232 | 0.849 | 1.616 | 0.554 | 3.315 | 39.918 | Saddle | 21 | 16% | 2.059 | 1.299 | 2.818 | 0.719 | 4.977 | 7.553 | D-Saddle | 57 | 43% | 2.329 | 1.862 | 2.797 | 0.596 | 4.993 | 3.988 | Category (super-resolution) | GDB-ICP | 17 | 24% | 0.783 | 0.703 | 0.863 | 0.486 | 0.988 | 0.778 | Harris-PIIFD | 2 | 3% | 0.846 | 0.071 | 1.621 | 0.785 | 0.907 | 1.969 | H-M | 18 | 25% | 0.839 | 0.780 | 0.897 | 0.554 | 0.995 | 1.886 | Saddle | 13 | 18% | 0.858 | 0.806 | 0.911 | 0.719 | 0.963 | 1.265 | D-Saddle | 32 | 45% | 0.852 | 0.810 | 0.894 | 0.596 | 0.999 | 0.897 | Category (image mosaicking) | GDB-ICP | 16 | 33% | 3.068 | 2.620 | 3.516 | 1.946 | 4.952 | 1.134 | Harris-PIIFD | 0 | 0% | N/A | N/A | N/A | N/A | N/A | 580.486 | H-M | 0 | 0% | N/A | N/A | N/A | N/A | N/A | 18.980 | Saddle | 3 | 6% | 4.921 | 4.785 | 5.058 | 4.867 | 4.977 | 4.532 | D-Saddle | 13 | 27% | 4.520 | 4.271 | 4.769 | 3.741 | 4.993 | 3.301 | Category (longitudinal study) | GDB-ICP | 4 | 29% | 2.792 | 1.903 | 3.680 | 2.354 | 3.603 | 3.444 | Harris-PIIFD | 3 | 21% | 3.725 | 2.551 | 4.899 | 3.319 | 4.244 | 396.753 | H-M | 4 | 29% | 3.004 | 2.664 | 3.343 | 2.857 | 3.315 | 110.853 | Saddle | 5 | 36% | 3.462 | 2.495 | 4.429 | 2.767 | 4.769 | 4.277 | D-Saddle | 12 | 86% | 3.896 | 3.303 | 4.490 | 2.534 | 4.906 | 3.637 |
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Standard deviation of TRE from all image pair (both failed and successful registration).
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