input:
Input image: the (gray-scale) image to analyze
Directions: set of directions to consider, for each direction the 10 features are extracted, i.e., the resulting feature vector has a dimension of 10 times the number of directions
Isotropic calculations: if selected the various directions are not treated indipendently, but the extracted measures are averaged over all directions; in this case the result data vector has always only 10 dimensions
Distance: pixel distance between pixel pairs to consider
output:
The result of the operator is represented as a table with the extracted
feature measures. Each row of the table refers to a single measure. In case of
isotropic calculations there are 10 entries in the table referring to the 10
Haralick measures as listed above. In the non-isotropic case for each direction
10 values are present where the first 10 entries refer to the first direction,
the second 10 entries to the second direction and so on.