Table 2.
List of computed statistic (S) and texture (T) features
| Number | Feature | Abbreviation |
|---|---|---|
| 1. | Energy | S.En |
| 2. | Entropy | S.Ent |
| 3. | Kurtosis | S.Kur |
| 4. | Maximum | S.Max |
| 5. | Mean | S.Mean |
| 6. | Mean absolute deviation | S.MAD |
| 7. | Median | S.Med |
| 8. | Minimum | S.Min |
| 9. | RMS | S.RMS |
| 10. | Range | S.Ran |
| 11. | Skewness | S.Sk |
| 12. | Standard deviation | S.Std |
| 13. | Uniformity | S.Un |
| 14. | Variance | S.Var |
| 15. | Autocorrelation | T.Aut |
| 16. | Cluster prominence | T.Clp |
| 17. | Cluster shade | T.Cls |
| 18. | Cluster tendency | T.Clt |
| 19. | Contrast | T.Con |
| 20. | Correlation | T.Cor |
| 21. | Difference entropy | T.Den |
| 22. | Dissimilarity | T.Dis |
| 23. | Energy | T.En |
| 24. | Entropy | T.Ent |
| 25. | Grey-level non uniformity | T.GLNU |
| 26. | High grey-level run emphasis | T.HGLRU |
| 27. | Homogeneity 1 | T.Hom1 |
| 28. | Homogeneity 2 | T.Hom2 |
| 29. | Informational measure correlation 1 | T.IMC1 |
| 30. | Informational measure correlation 2 | T.IMC2 |
| 31. | Inverse difference moment normalised | T.IDMN |
| 32. | Inverse difference normalised | T.IDN |
| 33. | Inverse variance | T.IV |
| 34. | Long run emphasis | T.LRE |
| 35. | Long run high grey-level emphasis | T.LRHGLE |
| 36. | Long run low grey-level emphasis | T.LRLGLE |
| 37. | Low grey-level run emphasis | T.LoGLRU |
| 38. | Maximum probability | T.MP |
| 39. | Run length non uniformity | T.RLNU |
| 40. | Run percentage | T.RP |
| 41. | Short run emphasis | T.SRE |
| 42. | Short run high grey-level emphasis | T.SRHGLE |
| 43. | Short run low grey-level emphasis | T.SRLGLE |
| 44. | Sum average | T.SA |
| 45. | Sum entropy | T.SE |
| 46. | Sum variance | T.SV |