.TL Pgmtexture User Manual .SH 1 pgmtexture .LP Updated: 22 Aug 1991 .br Table Of Contents .SH 2 NAME .LP pgmtexture - calculate textural features on a PGM image .SH 2 SYNOPSIS .LP \fBpgmtexture\fR [\fB-d\fR \fId\fR] [\fIpgmfile\fR] .SH 2 DESCRIPTION .LP .LP This program is part of Netpbm. .LP \fBpgmtexture\fR 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 \fId\fR (default = 1). .LP Textural features include: .IP \(bu Angular Second Moment .IP \(bu Contrast .IP \(bu Correlation .IP \(bu Variance .IP \(bu Inverse Difference Moment .IP \(bu Sum Average .IP \(bu Sum Variance .IP \(bu Sum Entropy .IP \(bu Entropy .IP \(bu Difference Variance .IP \(bu Difference Entropy .IP \(bu Information Measures of Correlation .IP \(bu Maximal Correlation Coefficient .LP .LP Algorithm taken from: Haralick, R.M., K. Shanmugam, and I. Dinstein. 1973. Textural features for image classification. \fIIEEE Transactions on Systems, Man, and Cybertinetics,\fR SMC-3(6):610-621. .SH 2 LIMITATIONS .LP .LP The program can run incredibly slow for large images (larger than 64 x 64) and command line options are limited. The method for finding the Maximal Correlation Coefficient, which requires finding the second largest eigenvalue of a matrix Q, does not always converge. .SH 2 SEE ALSO .LP pgm, pamsharpness, pamsharpmap, pgmedge, pgmminkowski .SH 2 AUTHOR .LP Copyright (C) 1991 by Texas Agricultural Experiment Station, employer for hire of James Darrell McCauley. .br \l'5i' .SH 2 Table Of Contents .LP .IP \(bu NAME .IP \(bu SYNOPSIS .IP \(bu DESCRIPTION .IP \(bu BUGS .IP \(bu SEE ALSO .IP \(bu AUTHOR .LP