Research Article
An Improved Nondestructive Semantic Segmentation Method for Concrete Dam Surface Crack Images with High Resolution
Table 4
Indexes of ONLY-FCN and CNN-FCN by different thresholds on test set.
| Method name | Model II threshold | Model B threshold | Model II | Model B | Relative/absolute prediction time per patch | TP | FP | TN | FN | mR | mP | mIoU |
| ONLY-FCN | — | 0.999 | — | 29227 | — | — | 0.188 | 0.865 | 0.182 | 1.00x/7.9 ms | | | | | | | −76.4% | +33.5% | −66.7% | — | 0.99 | — | 40719 | — | — | 0.408 | 0.806 | 0.370 | | | | | | | −48.7% | +24.4% | −32.4% | — | 0.9 | — | 54502 | — | — | 0.645 | 0.729 | 0.514 | | | | | | | −18.9% | +12.5% | −6.0% | — | 0.5 | — | 69316 | — | — | 0.795 | 0.648 | 0.547 |
| CNN-FCN | 0.001 | 0.5 | 13496 | 56779 | 10364 | 43 | 0.795 | 0.648 | 0.547 | 1.42x/11.2 ms | +0.0% | +0.0% | +0.0% | 0.01 | 0.5 | 13410 | 41299 | 25844 | 129 | 0.795 | 0.648 | 0.548 | 1.22x/9.6 ms | +0.0% | +0.0% | +0.2% | 0.1 | 0.5 | 12885 | 10988 | 56155 | 654 | 0.798 | 0.649 | 0.550 | 0.84x/6.6 ms | +0.4% | +0.2% | +0.5% | 0.5 | 0.5 | 12151 | 2851 | 64292 | 1388 | 0.801 | 0.650 | 0.552 | 0.73x/5.8 ms | +0.8% | +0.3% | +0.9% | CNN | — | — | — | — | — | — | — | — | — | 0.53x/4.2 ms |
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TN denotes the true background predictions.
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