Table 2.
Method | Evaluation (%) | |||
---|---|---|---|---|
Feature | Classifier | Accuracy | Sensitivity | Specificity |
LBP | SVM [17] | 85.56 | 86.79 | 83.78 |
KNN [25] | 84.44 | 84.91 | 83.78 | |
DT [26] | 66.33 | 58.49 | 81.08 | |
LDA [27] | 74.44 | 77.36 | 70.27 | |
| ||||
HOG | SVM [17] | 81.11 | 84.91 | 75.68 |
KNN [25] | 61.11 | 100.00 | 5.41 | |
DT [26] | 67.78 | 67.92 | 67.57 | |
LDA [27] | 70.00 | 75.47 | 62.16 | |
| ||||
GLCM | SVM [17] | 78.89 | 92.45 | 59.46 |
KNN [25] | 65.56 | 75.47 | 51.35 | |
DT [26] | 71.11 | 77.36 | 62.16 | |
LDA [27] | 74.44 | 84.91 | 59.46 | |
| ||||
LBP+HOG+GLCM | SVM [17] | 86.67 | 92.45 | 78.38 |
KNN [25] | 64.44 | 100.00 | 13.51 | |
DT [26] | 72.22 | 73.58 | 70.27 | |
LDA [27] | 75.56 | 84.91 | 62.16 | |
| ||||
Morphological | SVM [17] | 75.56 | 67.92 | 86.49 |
NB [18] | 81.11 | 69.81 | 97.30 | |
LDA [26] | 75.56 | 60.38 | 97.30 |