Functions for the calculation of summary statistics upon the GLCM matrix.
glcm_mean: GLCM mean of a symmetric GLCM matrix. The GLCM Mean is not simply the average of all the original node values in the network/graph. It is expressed in terms of the GLCM. The node value is weighted not by its frequency of occurrence by itself (as in a "regular" or familiar mean but by its frequency of its occurrence in combination with a certain neighbour node value; see https://prism.ucalgary.ca/server/api/core/bitstreams/8f9de234-cc94-401d-b701-f08ceee6cfdf/content
glcm_variance: The variance of the GLCM values
glcm_mean(glcm)mu_x.matrix(glcm)
mu_y.matrix(glcm)
glcm_variance(glcm)
int or double (glcm_mean: single value, mean of symmetric glcm)
int or double (mu_x: weighted mean of reference node values)
int or double (mu_y: weighted mean of neighbor node values)
int or double (glcm_variance: glcm variance)
gray level co-occurrence matrix