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