Research Article
Automatic Optic Disc Detection in Color Retinal Images by Local Feature Spectrum Analysis
Table 2
The average classification accuracy rates (%), standard deviations, (%) and reconstruction errors (R_error) of the proposed approach with M=5.
| Dsize | 5 | 10 | 15 | 20 | 25 |
| SVM + random | 92.01 ±2.15 | 94.23 ±2.47 | 95.57 ±2.28 | 95.04 ±2.63 | 94.80 ±2.89 | SVM + K-means | 93.67 ±2.44 | 94.88 ±3.01 | 96.23 ±2.50 | 97.67 ±2.37 | 96.35 ±2.89 | SVM + ours | 96.25 ±2.42 | 98.00 ±1.96 | 98.50 ±1.82 | 99.00 ±2.29 | 98.80 ±2.33 | kNN + random | 91.36 ±2.17 | 92.75 ±2.46 | 94.37 ±2.86 | 94.50 ±2.05 | 94.21 ±2.49 | kNN + K-means | 92.69 ±3.26 | 93.97 ±2.87 | 95.61 ±2.54 | 95.11 ±2.63 | 94.93 ±2.37 | kNN + ours | 94.50 ±2.79 | 97.25 ±2.33 | 98.00 ±2.13 | 98.50 ±2.35 | 98.31 ±2.64 | R_error (random) | 0.427 | 0.410 | 0.407 | 0.398 | 0.378 | R_error (K-means) | 0.329 | 0.318 | 0.312 | 0.301 | 0.296 | R_error (ours) | 0.118 | 0.116 | 0.108 | 0.105 | 0.094 |
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