Table 2.
Experimental methods.
| Method name | Classification | Feature extraction | Image decomposition |
|---|---|---|---|
| SVMI1 | SVM linear | Higher-order Zernike moments, SVD | NSCT |
| SVMI2 | SVM linear | Low-order Zernike moments | Biorthogonals3.8 |
| SVMI3 | SVM linear | Low-order Zernike moments | Daubechies9 |
| SVMI4 | SVM linear | Low-order Zernike moments | Symlet9 |
| SVMp5 | SVM polynomial | Higher-order Zernike moments, SVD | NSCT |
| SVMp6 | SVM polynomial | Low-order Zernike moments | Biorthogonals3.8 |
| SVMp7 | SVM polynomial | Low-order Zernike moments | Daubechies9 |
| SVMp8 | SVM polynomial | Low-order Zernike moments | Symlet9 |
| SVMR9 | SVM RFB | Higher-order Zernike moments, SVD | NSCT |
| SVMR10 | SVM RFB | Low-order Zernike moments | Biorthogonals3.8 |
| SVMR11 | SVM RFB | Low-order Zernike moments | Daubechies9 |
| SVMR12 | SVM RFB | Low-order Zernike moments | Symlet9 |
| DT13 | Decision tree | Higher-order Zernike moments, SVD | NSCT |
| DT14 | Decision tree | Low-order Zernike moments | Biorthogonals3.8 |
| DT15 | Decision tree | Low-order Zernike moments | Daubechies9 |
| DT16 | Decision tree | Low-order Zernike moments | Symlet9 |