Research Article
Artificial Neural Network Application in the Diagnosis of Disease Conditions with Liver Ultrasound Images
Table 3
Features of GLRLM.
| S/number | Name | Equation |
| 1 | Gray level run-length pixel number matrix | | 2 | Gray-level run-number vector | | 3 | Run-length run-number vector | | 3.1 | Short run emphasis SRE () | | 3.2 | Long run emphasis LRE () | | 3.3 | Gray-level nonuniformity GLN () | | 3.4 | Run length nonuniformity RLN () | | 3.5 | Run percentage RP () | | 3.6 | Low gray-level run emphasis LGRE () | | 3.7 | High gray-level run emphasis HGRE () | | 3.8 | Short run low gray-level emphasis SRLGE () | | 3.9 | Short run high gray-level emphasis SRHGE () | | 3.10 | Long run low gray-level emphasis LRLGE () | | 3.11 | Long run high gray-level emphasis LRHGE () | |
|
|