**NAME**

cooc, cooc_features - calculate the co-occurrence matrix and features
on it

**SYNOPSIS**

cooc image matrix xpos ypos xsize ysize dx dy flag
**cooc_features** **matrix**

**DESCRIPTION**

**cooc** creates a 256 by 256 one channel co-occurrence matrix of the box
determined by the parameters (xp, yp; xs, ys) within the image file.
The matrix is written onto the Vasari image file matrix. The
displacement vector is determined by (dx, dy). The user must ensure
that there is enough border pixels around the box within im dictated by
the displacement vector (dx,dy) or else the program fails. All entries
of the co-occurrence matrix are double normalised to the number of
pairs involved. This function is a direct implementation of the paper:
Haralick R. M., Shanmugan K. and Dinstein I., â€™Textural features for
image classificationâ€™, IEEE Transactions on Systems, Man, and
Cybernetics, Vol. SMC-3, No 6, Nov. 1973, pp 610-621.
If flag sym is 1, the created co-occurrence matrix is symmetric that is
dispacement vectors (dx, dy), (-dx, -dy) create exactly the same
matrix. If sym is 0, the created co-occurrence matrix is not symmetric
that is dispacement vectors (dx, dy), (-dx, -dy) create different
matrices.
Input image should be one band unsigned char image.
**cooc_features** calculates and prints at the standard error output
features of the cooccurrence matrix matrix.

**SEE ALSO**

im_glds_matrix(3X), im_cooc_asm(3X), im_cooc_contrast(3X),
im_cooc_correlation(3X), im_cooc_entropy(3X)

**COPYRIGHT**

N. Dessipris

**AUTHOR**

N. Dessipris - 27/2/1992
27 Jan 1992 COOC(1)