autocorrelation |
Autocorrelation Metric for a GLCM or GLCM equivalent matrix |
autocorrelation.default |
Autocorrelation Metric for a GLCM or GLCM equivalent matrix |
autocorrelation.FitLandDF |
Autocorrelation Metric for a GLCM or GLCM equivalent matrix |
autocorrelation.matrix |
Autocorrelation Metric for a GLCM or GLCM equivalent matrix |
cluster_prom |
Cluster Prominence Metric for a GLCM |
cluster_prom.default |
Cluster Prominence Metric for a GLCM |
cluster_prom.FitLandDF |
Cluster Prominence Metric for a GLCM |
cluster_prom.matrix |
Cluster Prominence Metric for a GLCM |
cluster_shade |
Cluster Shade Metric for a GLCM |
cluster_shade.default |
Cluster Shade Metric for a GLCM |
cluster_shade.FitLandDF |
Cluster Shade Metric for a GLCM |
cluster_shade.matrix |
Cluster Shade Metric for a GLCM |
comat |
Calculate Co-Occurrence Matrix |
compute_all_metrics |
Convenience function to compute all haralick texture features |
contrast |
Contrast Metric for a GLCM |
contrast.default |
Contrast Metric for a GLCM |
contrast.FitLandDF |
Contrast Metric for a GLCM |
contrast.matrix |
Contrast Metric for a GLCM |
correlation |
Correlation Metric for a GLCM |
correlation.default |
Correlation Metric for a GLCM |
correlation.FitLandDF |
Correlation Metric for a GLCM |
correlation.matrix |
Correlation Metric for a GLCM |
differenceEntropy.matrix |
Difference entropy is the entropy of marginal distribution of the difference in gray-level value equivalents x-y |
discretize |
Discretize Numeric Variable Into Categories |
discretize.FitLandDF |
Discretize Numeric Variable Into Categories |
discretize.integer |
Discretize Numeric Variable Into Categories |
discretize.list |
Discretize Numeric Variable Into Categories |
discretize.numeric |
Discretize Numeric Variable Into Categories |
dissimilarity.matrix |
Dissimilarity of a co-occurrence matrix |
energy |
Energy Metric for a GLCM |
energy.default |
Energy Metric for a GLCM |
energy.FitLandDF |
Energy Metric for a GLCM |
energy.matrix |
Energy Metric for a GLCM |
entropy |
Entropy Metric for a GLCM |
entropy.default |
Entropy Metric for a GLCM |
entropy.FitLandDF |
Entropy Metric for a GLCM |
entropy.matrix |
Entropy Metric for a GLCM |
equal_discrete |
Function Factory for Even Discretization Functions |
euclidean |
Euclidean Distance Function Factory |
get_comatrix |
Calculate Co-Occurrence Matrix |
get_comatrix.default |
Calculate Co-Occurrence Matrix |
get_comatrix.FitLandDF |
Calculate Co-Occurrence Matrix |
get_comatrix.igraph |
Calculate Co-Occurrence Matrix |
glcm_marginals |
Marginal distributions of the GLCM |
glcm_mean |
Statistics of GLCM |
glcm_statistics |
Statistics of GLCM |
glcm_variance |
Statistics of GLCM |
homogeneity |
Homogeneity Metric for a GLCM |
homogeneity.default |
Homogeneity Metric for a GLCM |
homogeneity.FitLandDF |
Homogeneity Metric for a GLCM |
homogeneity.matrix |
Homogeneity Metric for a GLCM |
inv_diff |
Inverse Difference Metric for a GLCM |
inv_diff.default |
Inverse Difference Metric for a GLCM |
inv_diff.FitLandDF |
Inverse Difference Metric for a GLCM |
inv_diff.matrix |
Inverse Difference Metric for a GLCM |
kmeans_discrete |
Kmeans clustering discretization |
manhattan |
Manhattan Distance Function Factory |
max_prob |
Maximum Probability Metric for a GLCM |
max_prob.default |
Maximum Probability Metric for a GLCM |
max_prob.FitLandDF |
Maximum Probability Metric for a GLCM |
max_prob.matrix |
Maximum Probability Metric for a GLCM |
mu_x.matrix |
Statistics of GLCM |
mu_y.matrix |
Statistics of GLCM |
normalize_glcm |
Normalize a GLCM |
quantile_discrete |
Function to discretize based on quantiles |
sum_squares |
Sum of Squares Metric for a GLCM |
sum_squares.default |
Sum of Squares Metric for a GLCM |
sum_squares.FitLandDF |
Sum of Squares Metric for a GLCM |
sum_squares.matrix |
Sum of Squares Metric for a GLCM |
xminusy_k |
Marginal distributions of the GLCM |
xplusy_k |
Marginal distributions of the GLCM |