Research Article
Recognition of Fetal Facial Ultrasound Standard Plane Based on Texture Feature Fusion
Table 3
Comparative experimental results of different texture features and classifiers.
| | Methods | AVG-Pre (%) | AVG-Re (%) | AVG- (%) | Accuracy (%) | | Texture | Classifier |
| | LBP | SVM | 93.45 () | 93.15 () | 93.25 () | 93.97 () | | HOG | SVM | 89.87 () | 89.22 () | 89.45 () | 90.72 () | | LBP + HOG | SVM | 94.27 () | 93.88 () | 94.03 () | 94.67 () | | LBP | KNN | 88.96 () | 87.08 () | 87.66 () | 89.33 () | | HOG | KNN | 89.31 () | 88.07 () | 88.42 () | 89.78 () | | LBP + HOG | KNN | 90.32 () | 89.77 () | 89.95 () | 90.87 () | | LBP | NB | 70.29 () | 70.65 () | 69.91 () | 72.68 () | | HOG | NB | 73.73 () | 73.17 () | 73.25 () | 76.33 () | | LBP + HOG | NB | 78.08 () | 77.34 () | 77.24 () | 79.81 () |
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