Table 3.

GLCM features.

Feature Name	Formula	Feature Name	Formula
Auto correlation	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}\left(i.j\right)p(i,j)$	Information measure of correlation 1	$\frac{HXY-HXY1}{\max (HX,HY)}$
Cluster prominence	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}{\left(i+j-2u\right)}^{3}p(i,j)$	Information measure of correlation 2	$\sqrt{1-\exp [-2\left(HXY2-HXY\right)]}$
Cluster shade	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}{\left(i+j-2u\right)}^{4}p(i,j)$	Inverse difference moment	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}\frac{p(i,j)}{1+\left|i-j\right|}$
Contrast	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}{\left(i-j\right)}^{2}p(i,j)$	Maximum probability	${max}_{i,j}p(i,j)$
Correlation	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}\left(\frac{i-{\mathsf{\mu }}_x}{{\sigma }_x}\right)\left(\frac{j-{\mathsf{\mu }}_y}{{\sigma }_y}\right)p(i,j)$	Sum average	${\displaystyle \sum _{k=2}^{2N}}k{p}_{x+y}(k)$
Difference entropy	$-{\displaystyle \sum _{k=0}^{N-1}}{p}_{x-y}\left(k\right)log p_{x-y}(k)$	Sum entropy	$-{\displaystyle \sum _{k=2}^{2N}}{p}_{x+y}\left(k\right)\log p_{x+y}\left(k\right)$
Difference variance	${\displaystyle \sum _{k=0}^{N-1}}{(k-{\mathsf{\mu }}_{x-y})}^2{p}_{x-y}(k)$	Sum of squares	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}p{\left(i-\mathsf{\mu }\right)}^{2}p(i,j)$
Dissimilarity	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}\left|i-j\right|.p(i,j)$	Sum variance	${\displaystyle \sum _{k=2}^{2N}}{\left(k-{\mathsf{\mu }}_{x+y}\right)}^2{p}_{x+y}(k)$
Energy	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}p{(i,j)}^2$	Maximal correlation coefficient	$\sqrt{{\lambda }_2\left(Q\left(i,j\right)\right)}$
Entropy	$-{\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}p(i,j)log p(i,j)$	Inverse difference normalized	${\displaystyle \sum _{i=0}^{N-1}}{\displaystyle \sum _{j=0}^{N-1}}\frac{1}{1+{\left(i-j\right)}^2}p(i,j)$
Homogeneity	${\displaystyle \sum _{i=1}^N}{\displaystyle \sum _{j=1}^N}\frac{p(i,j)}{1+{(i-j)}^2}$	Inverse difference moment normalized	${\displaystyle \sum _{i=0}^{N-1}}{\displaystyle \sum _{j=0}^{N-1}}\frac{p(i,j)}{{\left(1+\frac{\left|i-j\right|}{N}\right)}^2}$