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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


ForestTools

Analyzing Remotely Sensed Forest Data

v0.2.4
GPL (>= 3)
Authors
Andrew Plowright, Jean-Romain Roussel
Initial release
2021-04-12

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