Autocorrelation =	$\sum _i\sum _j\raisebox{1ex}{$(p_x-{\mu }_x)(p_y-{\mu }_y)$}\!\left/ \!\raisebox{-1ex}{${\sigma }_x{\sigma }_y$}\right.;$	(1)
Contrast =	$\sum _n{n}^2\left\{\sum _i\sum _{j}p\left(i,j\right)\right\},\left|i-j\right|=n;$	(2)
Correlation =	$\frac{{\sum }_i{\sum }_j\left(i-{\mu }_x\right)\left(j-{\mu }_y\right)p\left(i,j\right)}{{\sigma }_x{\sigma }_y};$	(3)
Cluster prominence =	$\sum _i\sum _j{\left(i+j-{\mu }_x-{\mu }_y\right)}^{4}p\left(i,j\right);$	(4)
Cluster shading =	$\sum _i\sum _j{\left(i+j-{\mu }_x-{\mu }_y\right)}^{3}p\left(i,j\right);$	(5)
Dissimilarity =	$\sum _i\sum _{j}p\left(i,j\right)\left|i-j\right|;$	(6)
Energy =	$\sum _i\sum _{j}p{\left(i,j\right)}^2;$	(7)
Entropy =	$-\sum _i\sum _{j}p\left(i,j\right)\text{log}(p\left(i,j\right));$	(8)
Homogeneity =	$-\sum _i\sum _j\frac{1}{1+i-j}p\left(i,j\right);$	(9)
Difference variance =	$\sum _i{i}^2{p}_{x-y}(i);$	(10)
Difference entropy =	$-\sum _i{p}_{x+y}\left(i\right)\text{log}(p_{x+y}\left(i\right))$ $\frac{\mathit{\text{HXY}}-\mathit{\text{HXY}}1}{\mathit{\text{max}}\left\{\mathit{\text{HX}},\mathit{\text{HY}}\right\}}$ $\mathit{\text{HXY}}=\left(8\right),;$	(11)
Information measure of correlation =	$\mathit{\text{HXY}}1=-\sum _i\sum _{j}p\left(i,j\right)\text{log}\left(p_x\left(i\right)p_y\left(j\right)\right)$ $\mathit{\text{HX}}=\mathit{\text{entropy\hspace{0.17em}of\hspace{0.17em}}}{p}_x,$ $\mathit{\text{HY}}=\mathit{\text{entropy of\hspace{0.17em}}}{p}_y;$	(12)
Inverse difference normalized =	$\sum _i\sum _j\frac{1}{1+\left|i-j\right|}p\left(i,j\right);$	(13)
Inverse difference moment =	$\sum _i\sum _j\frac{1}{1+{(i-j)}^2}p\left(i,j\right);$	(14)