glcm_features: GLCM Features

In radiomics: 'Radiomic' Image Processing Toolbox

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

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0102107#s5

radiomics documentation built on May 2, 2019, 3:36 p.m.