Table I. Number of classification errors (out of 56 samples) for higher-order features (histogram and wavelet-based features excluded; wavelet-based features excludes; and wavelet-based features only). POE, probability of classification error; AC, average correlation coefficient; PCA, principal component analysis; LDA, linear discriminant analysis.

	“As computed” data			Standardized data
	Raw	PCA	LDA	RAW	PCA	LDA
Best higher-order features (histogram and wavelet-based features excluded)
Fisher	22	31	19	22	31	19
POE+ACC	26	28	3	6	4	4
Best higher-order features (wavelet-based features excluded)
Fisher	1	1	1	9	9	1
POE+ACC	24	24	0	4	3	2
Best higher-order features (wavelet-based features only)
Fisher	3	4	0	0	0	0
POE + ACC	3	6	0	0	0	0