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Skunkware 5
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pgmtexture.1
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Text File
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1995-07-25
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3KB
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67 lines
ppppggggmmmmtttteeeexxxxttttuuuurrrreeee((((1111)))) XXXXEEEENNNNIIIIXXXX SSSSyyyysssstttteeeemmmm VVVV ((((22222222 AAAAuuuugggg 1111999999991111)))) ppppggggmmmmtttteeeexxxxttttuuuurrrreeee((((1111))))
NNNNAAAAMMMMEEEE
pgmtexture - calculate textural features on a portable
graymap
SSSSYYYYNNNNOOOOPPPPSSSSIIIISSSS
ppppggggmmmmtttteeeexxxxttttuuuurrrreeee [----dddd _d] [_p_g_m_f_i_l_e]
DDDDEEEESSSSCCCCRRRRIIIIPPPPTTTTIIIIOOOONNNN
Reads a portable graymap as input. Calculates textural
features based on spatial dependence matrices at 0, 45, 90,
and 135 degrees for a distance _d (default = 1). Textural
features include:
(1) Angular Second Moment,
(2) Contrast,
(3) Correlation,
(4) Variance,
(5) Inverse Difference Moment,
(6) Sum Average,
(7) Sum Variance,
(8) Sum Entropy,
(9) Entropy,
(10) Difference Variance,
(11) Difference Entropy,
(12, 13) Information Measures of Correlation, and
(14) Maximal Correlation Coefficient.
Algorithm taken from:
Haralick, R.M., K. Shanmugam, and I. Dinstein. 1973.
Textural features for image classification. _I_E_E_E
_T_r_a_n_s_a_c_t_i_o_n_s _o_n _S_y_s_t_e_m_s, _M_a_n, _a_n_d _C_y_b_e_r_t_i_n_e_t_i_c_s, SMC-
3(6):610-621.
BBBBUUUUGGGGSSSS
The program can run incredibly slow for large images (larger
than 64 x 64) and command line options are limited. The
method for finding (14) the maximal correlation coefficient,
which requires finding the second largest eigenvalue of a
matrix Q, does not always converge.
RRRREEEEFFFFEEEERRRREEEENNNNCCCCEEEESSSS
_I_E_E_E _T_r_a_n_s_a_c_t_i_o_n_s _o_n _S_y_s_t_e_m_s, _M_a_n, _a_n_d _C_y_b_e_r_t_i_n_e_t_i_c_s, SMC-
3(6):610-621.
SSSSEEEEEEEE AAAALLLLSSSSOOOO
pgm(5), pnmcut(1)
AAAAUUUUTTTTHHHHOOOORRRR
Copyright (C) 1991 by Texas Agricultural Experiment Station,
employer for hire of James Darrell McCauley.
Page 1 (printed 9/7/93)