Table 2. Gray level co-occurrence matrix (GLCM), gray level run-length (GLRL) and Wavelet’s transform features.

Method	Texture feature parameters
Features	Mean, standard deviation, entropy, kurtosis, skewness and correlation
GLCM	Gray co-matrix, mean, standard deviation, entropy, kurtosis, skewness, correlation, contrast, variance, sum average, sum variance, sum entropy, difference variance, difference entropy, information measures of correlation, autocorrelation, dissimilarity, homogeneity, cluster prominence, cluster shade, maximum probability, inverse difference, inverse difference normalized, and inverse difference moment normalized.
GLRL	Short run emphasis (SRE), long runs emphasis (LRE), gray level non-uniformity (GLN), run percentage (RP), run length non-uniformity (RLN), low gray level run emphasis (LGRE) and high gray level run emphasis (HGRE)
Wavelet’s transform	wEntropy, energy ‘sym4’ (Ea, Eh, Ev, Ed, E_soma), energy ‘haar’ (Ea, Eh, Ev, Ed, E_soma), energy ‘bior’ (Ea, Eh, Ev, Ed, E_soma)