Research Article
Automatic Optic Disc Detection in Color Retinal Images by Local Feature Spectrum Analysis
Table 5
The average classification accuracy rates (%), standard deviations (%), and reconstruction errors (R_error) of the proposed approach with M=50.
| Dsize | 50 | 150 | 300 | 500 | 700 | 1000 |
| SVM + random | 91.56 ±2.98 | 94.76 ±3.77 | 93.49 ±3.16 | 94.27 ±2.75 | 93.17 ±3.73 | 93.01 ±2.39 | SVM + K-means | 92.98 ±2.75 | 95.32 ±3.39 | 94.76 ±3.64 | 95.19 ±2.63 | 94.24 ±3.85 | 93.94 ±2.73 | SVM + ours | 94.75 ±2.53 | 95.48 ±3.46 | 96.50 ±3.10 | 95.45 ±2.12 | 94.42 ±3.44 | 94.40 ±2.53 | kNN + random | 90.13 ±3.17 | 91.83 ±3.94 | 94.15 ±3.19 | 91.37 ±2.34 | 91.01 ±3.73 | 90.07 ±2.39 | kNN + K-means | 90.87 ±3.61 | 92.09 ±3.46 | 95.09 ±3.90 | 91.88 ±2.65 | 90.35 ±3.94 | 90.78 ±2.31 | kNN + ours | 91.95 ±3.11 | 92.25 ±3.77 | 96.25 ±3.56 | 92.00 ±2.89 | 91.75 ±3.13 | 91.25 ±2.71 | R_error (random) | 0.472 | 0.465 | 0.459 | 0.447 | 0.436 | 0.429 | R_error (K-means) | 0.375 | 0.367 | 0.358 | 0.344 | 0.329 | 0.320 | R_error (ours) | 0.194 | 0.187 | 0.184 | 0.179 | 0.177 | 0.174 |
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