pgmtexture man page
pgmtexture — calculate textural features on a PGM image
Synopsis
pgmtexture
[d d]
[pgmfile]
Description
This program is part of Netpbm(1).
pgmtexture reads a PGM image as input and calculates textural features based on spatial dependence matrices at 0, 45, 90, and 135 degrees for a distance d (default = 1).
Textural features include:
 Angular Second Moment
 Contrast
 Correlation
 Variance
 Inverse Difference Moment
 Sum Average
 Sum Variance
 Sum Entropy
 Entropy
 Difference Variance
 Difference Entropy
 Information Measures of Correlation

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, SMC3(6):610621.
Limitations
The method for finding the Maximal Correlation Coefficient, which requires finding the second largest eigenvalue of a matrix Q, does not always converge.
See Also
pgm(1), pamsharpness(1), pamsharpmap(1), pgmedge(1), pgmminkowski(1)
Author
Copyright (C) 1991 by Texas Agricultural Experiment Station, employer for hire of James Darrell McCauley.
Document Source
This manual page was generated by the Netpbm tool 'makeman' from HTML source. The master documentation is at