Advances in Bioinformatics / 2014 / Article / Tab 3

Research Article

Artificial Neural Network Application in the Diagnosis of Disease Conditions with Liver Ultrasound Images

Table 3

Features of GLRLM.


1Gray level run-length pixel number matrix
2Gray-level run-number vector
3Run-length run-number vector
3.1Short run emphasis SRE ()
3.2Long run emphasis LRE ()
3.3Gray-level nonuniformity GLN ()
3.4Run length nonuniformity RLN ()
3.5Run percentage RP ()
3.6Low gray-level run emphasis LGRE ()
3.7High gray-level run emphasis HGRE ()
3.8Short run low gray-level emphasis SRLGE ()
3.9Short run high gray-level emphasis SRHGE ()
3.10Long run low gray-level emphasis LRLGE ()
3.11Long run high gray-level emphasis LRHGE ()

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