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ForestTools (version 1.0.1)

glcm_features: GLCM Features

Description

GLCM Features

Usage

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)

Arguments

glcm

A matrix of class "glcm" produced by glcm.

base

Base of the logarithm in differenceEntropy.

Functions

  • 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

References

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0102107