pgmtexture(1) General Commands Manual pgmtexture(1)NAME
pgmtexture - calculate textural features on a portable graymap
SYNOPSIS
pgmtexture [-d d] [pgmfile]
DESCRIPTION
Reads a portable graymap as input. Calculates textural features based on spatial dependence matrices at 0, 45, 90, and 135 degrees for a
distance d (default = 1). Textural features include:
(1) Angular Second Moment,
(2) Contrast,
(3) Correlation,
(4) Variance,
(5) Inverse Difference Moment,
(6) Sum Average,
(7) Sum Variance,
(8) Sum Entropy,
(9) Entropy,
(10) Difference Variance,
(11) Difference Entropy,
(12, 13) Information Measures of Correlation, and
(14) Maximal Correlation Coefficient.
Algorithm taken from:
Haralick, R.M., K. Shanmugam, and I. Dinstein. 1973. Textural features for image classification. IEEE Transactions on Systems, Man, and
Cybertinetics, SMC-3(6):610-621.
BUGS
The program can run incredibly slow for large images (larger than 64 x 64) and command line options are limited. The method for finding
(14) the maximal correlation coefficient, which requires finding the second largest eigenvalue of a matrix Q, does not always converge.
REFERENCES
IEEE Transactions on Systems, Man, and Cybertinetics, SMC-3(6):610-621.
SEE ALSO pgm(5), pnmcut(1)AUTHOR
Copyright (C) 1991 by Texas Agricultural Experiment Station, employer for hire of James Darrell McCauley.
22 Aug 1991 pgmtexture(1)
Check Out this Related Man Page
pgmtexture(1) General Commands Manual pgmtexture(1)NAME
pgmtexture - calculate textural features on a portable graymap
SYNOPSIS
pgmtexture [-d d] [pgmfile]
DESCRIPTION
Reads a portable graymap as input. Calculates textural features based on spatial dependence matrices at 0, 45, 90, and 135 degrees for a
distance d (default = 1). Textural features include:
(1) Angular Second Moment,
(2) Contrast,
(3) Correlation,
(4) Variance,
(5) Inverse Difference Moment,
(6) Sum Average,
(7) Sum Variance,
(8) Sum Entropy,
(9) Entropy,
(10) Difference Variance,
(11) Difference Entropy,
(12, 13) Information Measures of Correlation, and
(14) Maximal Correlation Coefficient.
Algorithm taken from:
Haralick, R.M., K. Shanmugam, and I. Dinstein. 1973. Textural features for image classification. IEEE Transactions on Systems, Man, and
Cybertinetics, SMC-3(6):610-621.
BUGS
The program can run incredibly slow for large images (larger than 64 x 64) and command line options are limited. The method for finding
(14) the maximal correlation coefficient, which requires finding the second largest eigenvalue of a matrix Q, does not always converge.
REFERENCES
IEEE Transactions on Systems, Man, and Cybertinetics, SMC-3(6):610-621.
SEE ALSO pgm(5), pnmcut(1)AUTHOR
Copyright (C) 1991 by Texas Agricultural Experiment Station, employer for hire of James Darrell McCauley.
22 Aug 1991 pgmtexture(1)
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