neurobase (version 1.32.4)

minmax_img-methods: Normalize Image using Range

Description

Calculates the range of values in an image, then scales the image minimum to 0 and maximum to 1

Usage

minmax_img(img)
# S4 method for nifti
minmax_img(img)
# S4 method for array
minmax_img(img)
# S4 method for ANY
minmax_img(img)
# S4 method for character
minmax_img(img)
# S4 method for factor
minmax_img(img)
# S4 method for list
minmax_img(img)

Value

A nifti object (or list of them) or class of object passed in if not specified

Arguments

img

character path of image or an object of class nifti, or list of images

Examples

set.seed(5)
dims = rep(10, 4)
arr = array(rpois(prod(dims), lambda = 2), dim = dims)
nim = oro.nifti::nifti(arr)
mimg = minmax_img(nim)
marr = minmax_img(arr)
testthat::expect_equal(array(mimg, dim = dim(mimg)), marr)

set.seed(5)
dims = rep(10, 3)
arr = array(rnorm(prod(dims)), dim = dims)
arr[,,10] = 0
nim = oro.nifti::nifti(arr)
rnifti = RNifti::asNifti(nim)
timg = tempimg(nim)
limg = list(factor(timg), factor(timg))
func = minmax_img
func(arr)
func(nim)
func(rnifti)
func(timg)
func(limg)