Table 3 Comparisons of classification results of different methods
Feature extraction | Texture classification | Accuracy(%) | Time(s) |
|---|---|---|---|
– | VGG | 69 | 113 |
– | ResNet | 78.25 | 105 |
– | DenseNet | 81.25 | 97 |
– | CRNN | 73.7 | 67 |
ResNet+ ResNet | CRNN | 88.76 | 43 |
DenseNet+DenseNet | CRNN | 90.33 | 43 |
DenseNet+ResNet | CRNN | 91.78 | 42 |
DenseNet+ResNet | RNN | 89.12 | 42 |