Table 1.
Summary of feature extraction methods.
| Method | Features | Feature dimensionality | |
|---|---|---|---|
| Texture analysis | First-order | Mean, variance, skewness, kurtosis, entropy | 5 |
| Frctal measures | Fractal dimension, lacunarity | 2 | |
| GLCM | Contrast, correlation, energy, hogemeneity | 4 | |
| GLRLM | SRE, LRE, GLN, RLN, LGRE, HGRE, etc. | 11 | |
| Gabor filtering | 4 | ||
| LBP | 14 | ||
| Pretrained networks | AlexNet | FC-8 layer | 1000 |
| Inception-V3 | Average pooling layer | 2048 | |
| ResNet-18 | Average pooling layer | 512 | |
| ResNet-50 | Average pooling layer | 2048 | |
| InceptionResNet-V2 | Average pooling layer | 1536 | |
| SqueezeNet | Global average pooling layer | 1000 | |