pgmtexture man page
pgmtexture — calculate textural features on a PGM image
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
- Inverse Difference Moment
- Sum Average
- Sum Variance
- Sum 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, SMC-3(6):610-621.
The method for finding the Maximal Correlation Coefficient, which requires finding the second largest eigenvalue of a matrix Q, does not always converge.
pgm(1), pamsharpness(1), pamsharpmap(1), pgmedge(1), pgmminkowski(1)
Copyright (C) 1991 by Texas Agricultural Experiment Station, employer for hire of James Darrell McCauley.
This manual page was generated by the Netpbm tool 'makeman' from HTML source. The master documentation is at