Image Entropy using histograms — img_hist

Get the entropy for an entire image using histogram binning

img_hist_entropy(img, mask = NULL, breaks = 2000, base = exp(1), ...)

Arguments

img	object of class `nifti` or character
mask	binary object of class `nifti` or character
breaks	Number of breaks to pass to `hist`
base	Base to take the log for the entropy. Default is e
...	Additional arguments to pass to `hist`. Plot has already been set to `FALSE`

library(oro.nifti)
arr = array(rnorm(100^3), dim = rep(100, 3))
img = oro.nifti::nifti(arr)
img_hist_entropy(img)
#> [1] 6.71553