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. 2021 Mar 12;21:48. doi: 10.1186/s12880-021-00571-x

Table 2.

Texture parameters computed by MaZda

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