autocorrelation {gtexture} | R Documentation |
Autocorrelation Metric for a GLCM or GLCM equivalent matrix
Description
Calculate the autocorrelation feature or metric for a gray-level co-occurrence matrix. For definition and application, see Lofstedt et al. (2019) doi:10.1371/journal.pone.0212110.
Usage
autocorrelation(x, ...)
## Default S3 method:
autocorrelation(x, ...)
## S3 method for class 'matrix'
autocorrelation(x, ...)
## S3 method for class 'FitLandDF'
autocorrelation(x, nlevels, ...)
Arguments
x |
gray-level co-occurrence matrix |
... |
additional parameters |
nlevels |
desired number of discrete gray levels |
Value
double
Examples
## calculate autocorrelation of arbitrary GLCM
# define arbitrary GLCM
x <- matrix(1:16, nrow = 4)
# normalize
n_x <- normalize_glcm(x)
# calculate autocorrelation
autocorrelation(n_x)
## calculate autocorrelation of arbitrary fitness landscape
# create fitness landscape using FitLandDF object
vals <- runif(64)
vals <- array(vals, dim = rep(4, 3))
my_landscape <- fitscape::FitLandDF(vals)
# calculate autocorrelation of fitness landscape, assuming 2 discrete gray levels
autocorrelation(my_landscape, nlevels = 2)
## confirm value of autocorrelation for fitness landscape
# extract normalized GLCM from fitness landscape
my_glcm <- get_comatrix(my_landscape, discrete = equal_discrete(2))
# calculate autocorrelation of extracted GLCM
autocorrelation(my_glcm) # should match value of above autocorrelation function call
[Package gtexture version 1.0.0 Index]