Table 2.
Texture feature algorithm | Parameters |
---|---|
RLM | Grey-level/run-length nonuniformity, long/short run emphasis, fraction of image in runs |
ARM | Model parameter vector includes 4 parameters; Sigma: standard deviation of the noise |
Wavelet | Energy of the wavelet coefficients in subbands |
GrM | Kurtosis, skewness, variance, mean, percentage of pixels with a nonzero gradient |
Histogram | Skewness; mean; kurtosis; variance; and perc. 01%, perc. 10%, perc. 50%, perc. 90%, and perc. 99% |
COM | Angular second moment, correlation, contrast, sum of squares, inverse difference moment, sum variance, sum average, sum entropy, entropy, difference variance, difference entropy |
RLM, run-length matrix; ARM, Auto-regressive model; GrM, absolute gradient; COM, co-occurrence matrix parameters