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GLCM Features
glcm_mean(glcm)glcm_variance(glcm)
glcm_autoCorrelation(glcm)
glcm_cProminence(glcm)
glcm_cShade(glcm)
glcm_cTendency(glcm)
glcm_contrast(glcm)
glcm_correlation(glcm)
glcm_differenceEntropy(glcm, base = 2)
glcm_dissimilarity(glcm)
glcm_energy(glcm)
glcm_entropy(glcm, base = 2)
glcm_homogeneity1(glcm)
glcm_homogeneity2(glcm)
glcm_IDMN(glcm)
glcm_IDN(glcm)
glcm_inverseVariance(glcm)
glcm_maxProb(glcm)
glcm_sumAverage(glcm)
glcm_sumEntropy(glcm, base = 2)
glcm_sumVariance(glcm)
A matrix of class "glcm" produced by glcm.
Base of the logarithm in differenceEntropy.
glcm_mean: Mean
glcm_variance: Variance
glcm_autoCorrelation: Autocorrelation
glcm_cProminence: Cluster Prominence
glcm_cShade: Cluster Shade
glcm_cTendency: Cluster Tendency
glcm_contrast: Contrast
glcm_correlation: Correlation
glcm_differenceEntropy: Difference Entropy
glcm_dissimilarity: Dissimilarity
glcm_energy: Energy
glcm_entropy: Entropy
glcm_homogeneity1: Homogeneity
glcm_homogeneity2: Homogeneity 2
glcm_IDMN: Inverse Difference Moment (Normalized)
glcm_IDN: Inverse Difference (Normalized)
glcm_inverseVariance: Inverse Variance
glcm_maxProb: Maximum Probability
glcm_sumAverage: Sum Average
glcm_sumEntropy: Sum Entropy
glcm_sumVariance: Sum Variance
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0102107#s5