Table 4.

GLRLM features.

Feature Name	Formula	Feature Name	Formula
Short Run Emphasis (SRE)	${\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}\frac{p(\left.i,j\right|\theta )}{j^2}/{\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}\frac{p\left(\left.i,j\right|\theta \right)}{1}$	Run Length Non-Uniformity (RLN)	${\displaystyle \sum _{j=1}^R}{\left({\displaystyle \sum _{i=1}^G}p\left(\left.i,j\right|\theta \right)\right)}^2/{\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}p\left(\left.i,j\right|\theta \right)$
Long Run Emphasis (LRE)	${\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}{j}^2\times p(\left.i,j\right|\theta )/{\displaystyle \sum _{j=1}^R}p\left(\left.i,j\right|\theta \right)$	Low Gray-Level Run Emphasis (LGRE)	${\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}\frac{p\left(\left.i,j\right|\theta \right)}{i^2}/{\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}p\left(\left.i,j\right|\theta \right)$
Gray-Level Non-Uniformity (GLN)	${\displaystyle \sum _{i=1}^G}{\left({\displaystyle \sum _{j=1}^R}p\left(\left.i,j\right|\theta \right)\right)}^2/{\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}p\left(\left.i,j\right|\theta \right)$	High Gray-Level Run Emphasis (HGRE)	${\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}{i}^2\times p(\left.i,j\right|\theta )/{\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}p\left(\left.i,j\right|\theta \right)$
Run Percentage (RP)	$\frac{1}{N}{\displaystyle \sum _{i=1}^G}{\displaystyle \sum _{j=1}^R}p\left(\left.i,j\right|\theta \right)$