Figure 5

L _GLCM matrix created based on the L _S matrix. The matrix presenting the total number of neighbourhoods between pixels. The number of neighbourhood is read selecting appropriate matrix column and row. For example, in row 3 and column 4 we read the value of 3. This means that on the image pixel 3 with the neighbouring pixel 4 occurred 3 times. All neighbourhoods (a total of 16) are calculated following this example. For this reason, the sum of the values in the matrix L _GLCM is 16. It should be noted that further transformations of the matrix L _GLCM are possible. They arise from the fact that the matrix L _GLCM is symmetric to the neighborhood - if the value 3 is adjacent to the value 4, then the value 4 is adjacent to the value 3. For further analysis, however, a distribution of neighborhoods and the number of their occurrences are vital. The further away form the main diagonal the neighborhood is detected and marked in the matrix L _GLCM , the greater contrast it has. The neighborhoods in the lower right corner of the matrix L _GLCM refer to bright pixels whereas the ones in the upper left corner refer to dark pixels.