89 lines
2.5 KiB
Groff
89 lines
2.5 KiB
Groff
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.TH IM_COOC_MATRIX 3 "2 Dec 1991"
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.SH NAME
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im_cooc_matrix, im_cooc_asm, im_cooc_contrast, im_cooc_correlation,
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im_cooc_entropy \- calculate the co-occurrence matrix and features on it
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.SH SYNOPSIS
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.B #include <vips/vips.h>
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int im_cooc_matrix(im, m, xp, yp, xs, ys, dx, dy, sym)
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.br
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.B IMAGE *im, *m;
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.br
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.B int xp, yp, xs, ys;
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.br
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.B int dx, dy;
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.br
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.B int sym;
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.br
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.B int im_cooc_asm(m, asmoment)
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.br
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.B IMAGE *m;
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.br
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.B double *asmoment;
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.br
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.B int im_cooc_contrast(m, contrast)
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.br
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.B IMAGE *m;
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.br
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.B double *contrast;
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.br
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.B int im_cooc_correlation(m, correlation)
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.br
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.B IMAGE *m;
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.br
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.B double *correlation;
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.br
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.B int im_cooc_entropy(m, entropy)
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.br
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.B IMAGE *m;
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.br
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.B double *entropy;
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.SH DESCRIPTION
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.B im_cooc_matrix()
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creates a 256 by 256 one channel co-occurrence matrix of the box determined by
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the parameters (xp, yp; xs, ys) within the image pointed by the IMAGE
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descriptor im. The matrix is written onto the IMAGE descriptor m. The
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displacement vector is determined by (dx, dy). The user must ensure that
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there is enough border pixels around the box within im dictated by the
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displacement vector (dx,dy) or else the program fails. All entries of the
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co-occurrence matrix are double normalised to the number of pairs involved.
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This function is a direct implementation of the paper: Haralick R. M.,
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Shanmugan K. and Dinstein I., 'Textural features for image classification',
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IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-3, No 6, Nov.
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1973, pp 610-621. Input im should be one band unsigned char image.
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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. If
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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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.B im_cooc_asm()
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calculates the angular second moment of the co-occurrence matrix held by m.
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The result is returned into the location pointed by asmoment.
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.B im_cooc_contrast()
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calculates the contrast of the co-occurrence matrix held by m.
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The result is returned into the location pointed by contrast.
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.B im_cooc_correlation()
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calculates the correlation of the co-occurrence matrix held by m.
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The result is returned into the location pointed by correlation.
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.B im_cooc_entropy()
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calculates the entropy of the co-occurrence matrix held by m.
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The result is returned into the location pointed by entropy.
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.SH RETURNED VALUES
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All functions returns 0 on success and -1 on error.
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.SH SEE\ ALSO
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im_glds_matrix(3)
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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 \- 2/12/1991
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