Research Article
Robust Crater Detection Algorithm Based on Maximum Entropy Threshold Segmentation
Table 6
Detected crater numbers and quality factors.
| Matching threshold | Number of craters | Quality factors | Detection results | | | | | TP | FP | FN |
| 0.1 | 1430 | 89.8% | 76.7% | 0.19 | 84.0% | 1201 | 229 | 136 | 0.2 | 1276 | 89.7% | 84.8% | 0.06 | 94.0% | 1199 | 77 | 138 | 0.3 | 1264 | 89.7% | 85.5% | 0.05 | 94.9% | 1199 | 65 | 138 | 0.4 | 1230 | 88.6% | 85.6% | 0.04 | 96.3% | 1184 | 46 | 153 | 0.5 | 1170 | 87.5% | 87.5% | 0 | 100% | 1170 | 0 | 167 | 0.6 | 1074 | 80.3% | 80.3% | 0 | 100% | 1074 | 0 | 263 | 0.7 | 962 | 72.0% | 72.0% | 0 | 100% | 962 | 0 | 375 | 0.8 | 909 | 68.0% | 68.0% | 0 | 100% | 909 | 0 | 428 | 0.9 | 209 | 15.6% | 15.6% | 0 | 100% | 209 | 0 | 1128 |
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