Table 3 Performance of hybrid global and local texture descriptors using spermatozoa data set
From: Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification
F score | Precision (%) | Recall (%) | Accuracy (%) | |
|---|---|---|---|---|
WCF13+ALBPS16 | 0.886 | 88.12 | 89.00 | 85.63 |
WCF13+LBPS8 | 0.867 | 89.77 | 84.04 | 85.00 |
WCF13+LBP8 | 0.865 | 93.67 | 80.43 | 85.63 |
WCF4+LBPS16 | 0.865 | 87.50 | 85.56 | 85.00 |
WCF13+ALBPS8 | 0.860 | 84.21 | 87.91 | 83.75 |
WCF13+LBPS16 | 0.857 | 80.41 | 91.76 | 83.75 |
WCF13+ALBP16 | 0.854 | 86.42 | 84.34 | 85.00 |
WCF4+ALBPS8 | 0.852 | 87.80 | 82.76 | 84.38 |
WCF13+ALBP8 | 0.850 | 85.87 | 84.04 | 82.50 |
WCF4+LBP8 | 0.847 | 86.02 | 83.33 | 81.88 |
WCF13+LBP2,16 | 0.845 | 82.83 | 86.32 | 81.25 |
WCF4+ALBPS16 | 0.843 | 84.27 | 84.27 | 82.50 |
WCF4+LBPS8 | 0.832 | 81.19 | 85.42 | 79.38 |
WCF4+ALBP16 | 0.825 | 82.02 | 82.95 | 80.63 |
WCF4+ALBP8 | 0.818 | 76.29 | 88.10 | 79.38 |
WCF4+LBP16 | 0.806 | 79.80 | 81.44 | 76.25 |