glcm_features: GLCM Features

In ForestTools: Tools for Analyzing Remote Sensing Forest Data

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

ForestTools documentation built on Oct. 2, 2023, 5:06 p.m.