Table of Contents of Features/Gray-Values

cooc_feature1 Calculate a co-occurrence matrix and derive gray value features thereof.
cooc_feature2 Calculate gray value features from a co-occurrence matrix.
entropy2__ Determine the entropy and anisotropy of images.
fuzzy_entropy Determine the fuzzy entropy of regions.
fuzzy_perimeter Calculate the fuzzy perimeter of a region.
gen_cooc_matrix Calculate the co-occurrence matrix of a region in an image.
grey_moments Calculate gray value moments and approximation by a plane.
grey_projections Calculate horizontal and vertical gray-value projections.
histo_2dim__ Calculate the histogram of two-channel gray value images.
histo__ Calculate the gray value distribution.
intensity__ Calculate the mean and deviation of gray values.
min_max__ Determine the minimum and maximum gray values within regions.
plane_deviation Calculate the deviation of the gray values from the approximating image plane.
select_grey__ Select regions based on gray value features.
texture_cooc Generate synthetic texture by using co-occurrence matrices.
tshape_histo1 Determine a histogram of features along all threshold values.
tshape_histo2 Determine a histogram of features along all threshold values.
write_cooc_matrix Generate co-occurrence matrices and write them to a file.


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