Research Article
Automatic Optic Disc Detection in Color Retinal Images by Local Feature Spectrum Analysis
Table 4
The average classification accuracy rates (%), standard deviations (%), and reconstruction errors (R_error) of the proposed approach with M=30.
| Dsize | 50 | 150 | 300 | 500 | 700 | 1000 |
| SVM + random | 92.95 ±3.64 | 95.79 ±3.86 | 95.09 ±2.14 | 94.36 ±2.75 | 94.17 ±2.49 | 94.02 ±2.16 | SVM + K-means | 93.83 ±3.33 | 97.02 ±3.64 | 97.36 ±2.88 | 96.24 ±2.69 | 96.03 ±2.72 | 95.83 ±2.99 | SVM + ours | 97.75 ±3.10 | 98.72 ±3.29 | 97.75 ±2.67 | 97.00 ±2.71 | 96.50 ±2.84 | 96.50 ±2.76 | kNN + random | 92.14 ±3.69 | 96.86 ±3.91 | 93.04 ±2.80 | 92.96 ±3.87 | 92.36 ±3.60 | 90.05 ±3.49 | kNN + K-means | 92.96 ±3.59 | 97.50 ±3.55 | 93.76 ±2.73 | 93.45 ±3.93 | 92.61 ±3.47 | 91.34 ±3.91 | kNN + ours | 96.50 ±3.17 | 98.00 ±3.06 | 94.00 ±2.89 | 93.75 ±3.04 | 92.75 ±3.21 | 91.75 ±3.09 | R_error (random) | 0.463 | 0.448 | 0.440 | 0.436 | 0.429 | 0.418 | R_error (K-means) | 0.356 | 0.349 | 0.336 | 0.328 | 0.319 | 0.311 | R_error (ours) | 0.183 | 0.178 | 0.174 | 0.169 | 0.168 | 0.162 |
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