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Calculates the GLCM Texture Metrics from a GLCM

Source: R/glcm_metrics.R
glcm_metrics.Rd

Calculates the GLCM Texture Metrics from a GLCM

Usage

glcm_metrics(
  GLCM,
  metrics = c("glcm_contrast", "glcm_dissimilarity", "glcm_homogeneity", "glcm_ASM",
    "glcm_entropy", "glcm_mean", "glcm_variance", "glcm_correlation", "glcm_SA")
)

Arguments

GLCM

A numeric matrix representing a Normalized GLCM.

metrics

A vector of texture metrics to return. Valid entries include "glcm_contrast", "glcm_dissimilarity", "glcm_homogeneity", "glcm_ASM", "glcm_entropy", "glcm_mean", "glcm_variance", "glcm_correlation".

Value

GLCM based texture measures as a numeric vector.

References

Hall-Beyer, M., 2017. GLCM Texture: A Tutorial v. 3.0. University of Calgary, Alberta, Canada.

Haralick, R.M., Shanmugam, K., Dinstein, I., 1973. Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics 610–621. https://doi.org/10.1109/TSMC.1973.4309314

Examples

test_matrix<- matrix(data=c(2,0,1,3,0,0,0,3,2), nrow = 3, ncol=3)
horizontal_glcm<- make_glcm(test_matrix, n_levels = 4,
shift = c(1,0), normalize = TRUE)
metrics<-glcm_metrics(horizontal_glcm, metrics= c("glcm_contrast",
"glcm_dissimilarity", "glcm_homogeneity", "glcm_ASM",
"glcm_entropy", "glcm_mean", "glcm_variance", "glcm_correlation"))