Table 2.
Feature calculation for the Fisher linear discriminant.
| Feature | f | Feature | f |
|---|---|---|---|
| A_R | 0.0177 | VC/A_R | 0.2836 |
| A_G | 0.0373 | VC/A_G | 0.0575 |
| A_B | 0.0226 | VC/A_B | 0.0708 |
| VC_R max | 0.5213 | VC/A_H | 0.0327 |
| VC_R min | 0.3015 | VC/A_Cb | 0.3671 |
| VC_G max | 0.0021 | VC/A_Cr | 0.2012 |
| VC_G min | 0.0081 | A_con | 0.2378 |
| VC_B max | 0.2172 | A_eng | 0.6568 |
| VC_B min | 0.0984 | A_cor | 0.0087 |
| A_H | 0.0629 | A_hom | 0.2052 |
| VC_H max | 0.0126 | VC_con max | 0.5241 |
| VC_H min | 0.0022 | VC_con min | 0.22 |
| A_Cb | 0.6425 | VC_eng max | 0.018 |
| VC_Cb max | 0.0317 | VC_eng min | 0.0236 |
| VC_Cb min | 0.0061 | VC_cor max | 0.0019 |
| A_Cr | 0.6409 | VC_cor max | 0.0061 |
| VC_Cr max | 0.0411 | VC_hom min | 0.038 |
| VC_Cr min | 0.0433 | VC_hom max | 0.0183 |
Values highlighted in bold represent significant difference among the 36 features