Table 1 Summary of textural features used in the feature model
| Feature class | Feature |
|---|---|
| First-order statistical features | Mean, Standard deviation |
| Skewness | |
| Kurtosis | |
| Second-order statistical | Energy, Contrast |
| features (Haralick) | Correlation, Variance |
| Inverse difference moment | |
| Sum average, Sum variance | |
| Sum entropy, Entropy | |
| Difference variance | |
| Difference entropy | |
| Information measure of correlation | |
| Homogeneity, Autocorrelation | |
| Dissimilarity, Cluster shade | |
| Cluster prominence | |
| Maximum probability | |
| Gabor filters | 3 scales and 4 orientations |
| Kirsch filters | 8 directions |
