Generalized Application of Co-Occurrence Matrices and Haralick
Texture
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Documentation for package ‘gtexture’ version 1.0.0
Help Pages
| 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 |