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- pgmtexture - calculate textural features on a portable
- graymap
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- SSSSYYYYNNNNOOOOPPPPSSSSIIIISSSS
- ppppggggmmmmtttteeeexxxxttttuuuurrrreeee [----dddd _d] [_p_g_m_f_i_l_e]
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- 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:
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- (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.
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- 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.
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- 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.
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- 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.
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- SSSSEEEEEEEE AAAALLLLSSSSOOOO
- pgm(5), pnmcut(1)
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- AAAAUUUUTTTTHHHHOOOORRRR
- Copyright (C) 1991 by Texas Agricultural Experiment Station,
- employer for hire of James Darrell McCauley.
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- Page 1 (printed 9/7/93)
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