Table 2. Performance of the proposed V-CNN model and SVM classifier in classifying colonies on the basis of morphological, textural, and combined features.
Features | Accuracy (%) | Precision (%) | Recall (%) | F-measure (%) |
---|---|---|---|---|
V-CNN model | ||||
Morphology | 95.5 | 93.3 | 93.1 | 93.1 |
Textures | 91.0 | 87.7 | 87.0 | 87.3 |
Combined | 93.3 | 89.9 | 89.7 | 89.8 |
SVM classifier | ||||
Morphology | 86.7 | 87.5 | 87.3 | 86.0 |
Textures | 83.3 | 85.3 | 83.4 | 83.5 |
Combined | 83.4 | 84.5 | 82.0 | 82.5 |