Usage:
python indexExtractor -i list.txt -f [filterType] -o outputdir
Where the list.txt must have the img and the ground truth in the same line.
[filterType]:
0 -> No filter
1 -> Blur
2 -> Gaussian filter
3 -> Mean filter
4 -> Bilateral filter
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.834 |
0.285 |
0.261 |
0.260 |
0.739 |
ExG |
0.802 |
0.224 |
0.288 |
0.288 |
0.712 |
CIVE |
0.856 |
0.576 |
0.224 |
0.224 |
0.776 |
VEG |
0.798 |
0.193 |
0.285 |
0.285 |
0.715 |
ExGR |
0.826 |
0.226 |
0.266 |
0.266 |
0.734 |
WI |
0.797 |
0.425 |
0.264 |
0.264 |
0.736 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.857 |
0.325 |
0.230 |
0.230 |
0.770 |
Geometric mean |
0.852 |
0.008 |
0.235 |
0.235 |
0.765 |
Method |
Accuracy |
Majority |
0.740 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.899 |
0.386 |
0.190 |
0.190 |
0.810 |
ExG |
0.858 |
0.314 |
0.236 |
0.236 |
0.764 |
CIVE |
0.882 |
0.604 |
0.198 |
0.198 |
0.802 |
VEG |
0.855 |
0.288 |
0.240 |
0.240 |
0.760 |
ExGR |
0.889 |
0.326 |
0.201 |
0.201 |
0.799 |
WI |
0.817 |
0.428 |
0.256 |
0.256 |
0.744 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.894 |
0.395 |
0.197 |
0.197 |
0.803 |
Geometric mean |
0.893 |
0.067 |
0.198 |
0.198 |
0.802 |
Method |
Accuracy |
Majority |
0.778 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.879 |
0.349 |
0.210 |
0.210 |
0.790 |
ExG |
0.837 |
0.284 |
0.254 |
0.254 |
0.746 |
CIVE |
0.877 |
0.597 |
0.205 |
0.205 |
0.795 |
VEG |
0.836 |
0.257 |
0.256 |
0.256 |
0.744 |
ExGR |
0.865 |
0.288 |
0.226 |
0.226 |
0.774 |
WI |
0.803 |
0.421 |
0.264 |
0.264 |
0.736 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.879 |
0.371 |
0.210 |
0.210 |
0.790 |
Geometric mean |
0.877 |
0.035 |
0.211 |
0.211 |
0.789 |
Method |
Accuracy |
Majority |
0.763 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.889 |
0.387 |
0.202 |
0.202 |
0.798 |
ExG |
0.834 |
0.302 |
0.263 |
0.263 |
0.737 |
CIVE |
0.891 |
0.604 |
0.193 |
0.193 |
0.807 |
VEG |
0.814 |
0.268 |
0.282 |
0.282 |
0.718 |
ExGR |
0.865 |
0.319 |
0.231 |
0.231 |
0.769 |
WI |
0.805 |
0.429 |
0.267 |
0.267 |
0.733 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.881 |
0.390 |
0.214 |
0.214 |
0.786 |
Geometric mean |
0.879 |
0.057 |
0.215 |
0.215 |
0.785 |
Method |
Accuracy |
Majority |
0.758 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.839 |
0.289 |
0.256 |
0.256 |
0.744 |
ExG |
0.806 |
0.231 |
0.285 |
0.285 |
0.715 |
CIVE |
0.870 |
0.588 |
0.213 |
0.213 |
0.787 |
VEG |
0.795 |
0.203 |
0.291 |
0.291 |
0.709 |
ExGR |
0.827 |
0.230 |
0.267 |
0.267 |
0.733 |
WI |
0.796 |
0.419 |
0.266 |
0.266 |
0.734 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.862 |
0.331 |
0.226 |
0.226 |
0.774 |
Geometric mean |
0.856 |
0.010 |
0.232 |
0.232 |
0.768 |
Method |
Accuracy |
Majority |
0.739 |
Original |
Early Fusion |
|
|
Blur |
Early Fusion |
|
|
Gaussian |
Early Fusion |
|
|
Mean |
Early Fusion |
|
|
Bilateral |
Early Fusion |
|
|
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.790 |
0.428 |
0.290 |
0.290 |
0.710 |
ExG |
0.801 |
0.311 |
0.268 |
0.268 |
0.732 |
CIVE |
0.838 |
0.559 |
0.236 |
0.236 |
0.764 |
VEG |
0.783 |
0.274 |
0.289 |
0.289 |
0.711 |
ExGR |
0.777 |
0.374 |
0.302 |
0.302 |
0.698 |
WI |
0.835 |
0.399 |
0.231 |
0.231 |
0.769 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.842 |
0.391 |
0.241 |
0.241 |
0.759 |
Geometric mean |
0.839 |
0.058 |
0.244 |
0.244 |
0.756 |
Method |
Accuracy |
Majority |
0.751 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.865 |
0.509 |
0.209 |
0.209 |
0.791 |
ExG |
0.861 |
0.388 |
0.215 |
0.215 |
0.785 |
CIVE |
0.853 |
0.573 |
0.220 |
0.220 |
0.780 |
VEG |
0.853 |
0.367 |
0.225 |
0.225 |
0.775 |
ExGR |
0.860 |
0.462 |
0.212 |
0.212 |
0.788 |
WI |
0.813 |
0.418 |
0.252 |
0.252 |
0.748 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.881 |
0.457 |
0.193 |
0.193 |
0.807 |
Geometric mean |
0.882 |
0.261 |
0.193 |
0.193 |
0.807 |
Method |
Accuracy |
Majority |
0.801 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.849 |
0.480 |
0.232 |
0.232 |
0.768 |
ExG |
0.849 |
0.361 |
0.230 |
0.230 |
0.770 |
CIVE |
0.848 |
0.573 |
0.225 |
0.225 |
0.775 |
VEG |
0.840 |
0.338 |
0.238 |
0.238 |
0.762 |
ExGR |
0.840 |
0.432 |
0.240 |
0.240 |
0.760 |
WI |
0.820 |
0.409 |
0.247 |
0.247 |
0.753 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.874 |
0.436 |
0.204 |
0.204 |
0.796 |
Geometric mean |
0.874 |
0.169 |
0.204 |
0.204 |
0.796 |
Method |
Accuracy |
Majority |
0.789 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.859 |
0.502 |
0.215 |
0.215 |
0.785 |
ExG |
0.852 |
0.391 |
0.224 |
0.224 |
0.776 |
CIVE |
0.851 |
0.584 |
0.223 |
0.223 |
0.777 |
VEG |
0.838 |
0.362 |
0.238 |
0.238 |
0.762 |
ExGR |
0.845 |
0.454 |
0.226 |
0.226 |
0.774 |
WI |
0.826 |
0.426 |
0.240 |
0.240 |
0.760 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.876 |
0.456 |
0.199 |
0.199 |
0.801 |
Geometric mean |
0.876 |
0.255 |
0.199 |
0.199 |
0.801 |
Method |
Accuracy |
Majority |
0.796 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
NGRDI |
0.806 |
0.437 |
0.280 |
0.280 |
0.720 |
ExG |
0.813 |
0.322 |
0.262 |
0.262 |
0.738 |
CIVE |
0.843 |
0.567 |
0.230 |
0.230 |
0.770 |
VEG |
0.796 |
0.288 |
0.282 |
0.282 |
0.718 |
ExGR |
0.793 |
0.380 |
0.293 |
0.293 |
0.707 |
WI |
0.830 |
0.399 |
0.239 |
0.239 |
0.761 |
Method |
AUC |
EER |
FAR |
FRR |
Accuracy |
Arithmetic Mean |
0.850 |
0.401 |
0.235 |
0.235 |
0.765 |
Geometric mean |
0.847 |
0.074 |
0.237 |
0.237 |
0.763 |
Method |
Accuracy |
Majority |
0.756 |
Original |
Early Fusion |
|
|
Blur |
Early Fusion |
|
|
Gaussian |
Early Fusion |
|
|
Mean |
Early Fusion |
|
|
Bilateral |
Early Fusion |
|
|
Indices comparison blurred input
Original |
|
Database 1 - Individual sample analysis
|
Mean |
Standard deviation |
AUC |
0.9528 |
0.02942 |
Accuracy |
0.891429 |
0.042455 |
Database 2 - Individual sample analysis
|
Mean |
Standard deviation |
AUC |
0.912412 |
0.055023 |
Accuracy |
0.848118 |
0.061750 |
Data |
NGRDI |
NGRDI + Blur |
CIVE |
CIVE + Blur |
AUC |
|
|
|
|
EER |
|
|
|
|
AUC |
|
|
|
|
EER |
|
|
|
|
NGRDI |
NGRDI + Blur |
CIVE |
CIVE + Blur |
|
|
|
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|
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