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<H1>pgmtexture</H1>
Updated: 22 Aug 1991
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<A HREF="#index">Table Of Contents</A>
<H2>NAME</H2>
pgmtexture - calculate textural features on a PGM image
<H2 id="synopsis">SYNOPSIS</H2>
<B>pgmtexture</B>
[<B>-d</B> <I>d</I>]
[<I>pgmfile</I>]
<H2 id="description">DESCRIPTION</H2>
<p>This program is part of <a href="index.html">Netpbm</a>.
<p><b>pgmtexture</b> 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 <I>d</I> (default = 1).
<p>Textural features include:
<UL>
<LI>Angular Second Moment
<LI>Contrast
<LI>Correlation
<LI>Variance
<LI>Inverse Difference Moment
<LI>Sum Average
<LI>Sum Variance
<LI>Sum Entropy
<LI>Entropy
<LI>Difference Variance
<LI>Difference Entropy
<LI>Information Measures of Correlation
<LI>Maximal Correlation Coefficient
</UL>
<P>Algorithm taken from: <CITE>Haralick, R.M., K. Shanmugam, and
I. Dinstein. 1973. Textural features for image classification.
<I>IEEE Transactions on Systems, Man, and Cybertinetics,</I>
SMC-3(6):610-621.</cite>
<H2 id="limitations">LIMITATIONS</H2>
<p>The method for finding the Maximal Correlation Coefficient, which requires
finding the second largest eigenvalue of a matrix Q, does not always converge.
<H2 id="seealso">SEE ALSO</H2>
<A HREF="pgm.html">pgm</A>,
<A HREF="pamsharpness.html">pamsharpness</A>,
<A HREF="pamsharpmap.html">pamsharpmap</A>,
<A HREF="pgmedge.html">pgmedge</A>,
<A HREF="pgmminkowski.html">pgmminkowski</A>
<H2 id="author">AUTHOR</H2>
Copyright (C) 1991 by Texas Agricultural Experiment Station, employer for
hire of James Darrell McCauley.
<HR>
<H2 id="index">Table Of Contents</H2>
<UL>
<LI><A HREF="#synopsis">SYNOPSIS</A>
<LI><A HREF="#description">DESCRIPTION</A>
<LI><A HREF="#limitations">limitations</A>
<LI><A HREF="#seealso">SEE ALSO</A>
<LI><A HREF="#author">AUTHOR</A>
</UL>
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