42 lines
1.6 KiB
Groff
42 lines
1.6 KiB
Groff
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.TH COOC 1 "27 Jan 1992"
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.SH NAME
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cooc, cooc_features \- calculate the co-occurrence matrix and features on it
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.SH SYNOPSIS
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cooc image matrix xpos ypos xsize ysize dx dy flag
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.br
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.B cooc_features matrix
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.SH DESCRIPTION
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.B cooc
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creates a 256 by 256 one channel co-occurrence matrix of the box
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determined by the parameters (xp, yp; xs, ys) within
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the image file. The matrix
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is written onto the Vasari image file matrix. The displacement
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vector is determined by (dx, dy). The user must ensure that there
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is enough border pixels around the box within im dictated by the displacement
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vector (dx,dy) or else the program fails.
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All entries of the co-occurrence matrix are double normalised to the number
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of pairs involved. This function is a direct implementation of the paper:
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Haralick R. M., Shanmugan K. and Dinstein I., 'Textural features for
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image classification', IEEE Transactions on Systems, Man, and Cybernetics,
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Vol. SMC-3, No 6, Nov. 1973, pp 610-621.
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If flag sym is 1, the created co-occurrence matrix is symmetric that is
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dispacement vectors (dx, dy), (-dx, -dy) create exactly the same matrix.
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If sym is 0, the created co-occurrence matrix is not symmetric that is
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dispacement vectors (dx, dy), (-dx, -dy) create different matrices.
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Input image should be one band unsigned char image.
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.B cooc_features
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calculates and prints at the standard error output features
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of the cooccurrence matrix matrix.
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.SH SEE\ ALSO
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im_glds_matrix(3X), im_cooc_asm(3X), im_cooc_contrast(3X),
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im_cooc_correlation(3X), im_cooc_entropy(3X)
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.SH COPYRIGHT
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.br
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N. Dessipris
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.SH AUTHOR
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N. Dessipris \- 27/2/1992
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