Table 3.
The classification results based on the methods of multiple features with single classifier.
| Features | Evaluation (%) | Classifier | |
|---|---|---|---|
| SVM | LDA | ||
| LBP+ morphological | Accuracy | 80.00 | 76.67 |
| Sensitivity | 79.25 | 75.47 | |
| Specificity | 81.08 | 78.38 | |
|
| |||
| HOG+ morphological | Accuracy | 83.33 | 72.22 |
| Sensitivity | 81.13 | 71.70 | |
| Specificity | 86.48 | 72.97 | |
|
| |||
| GLCM+ morphological | Accuracy | 80.00 | 80.00 |
| Sensitivity | 69.81 | 81.13 | |
| Specificity | 94.59 | 78.38 | |
|
| |||
| LBP+HOG+GLCM+ morphological | Accuracy | 87.78 | 76.67 |
| Sensitivity | 88.68 | 75.47 | |
| Specificity | 86.49 | 78.38 | |