The number_img and brightness_img classes are designed to hold objects
which are images calculated from the number and brightness technique.
number_img(img, def, thresh, swaps, filt)brightness_img(img, def, thresh, swaps, filt)
The calculated number or brightness image.
The number or brightness definition used.
A positive integer, possibly an object of class autothresholdr::th. If the different channels of the image had different thresholds, this argument may be specified as a vector or list (of positive integers, possibly objects of class autothresholdr::th), one element for each channel.
A non-negative integer with an attribute auto. If the
different channels of the image had different swaps, this argument may be
specified as a list (of non-negative integers with attributes auto), one
element for each channel. For undetrended images, set swaps = NA.
A string, the filtering method used. Must be either "mean" or
"median", or NA for no filtering. If the different channels of the
image had different filters, this may be specified as a character vector,
one element for each channel.
An object of class number_img or brightness_img.
An object of class number_img or brightness_img is a 4-dimensional array
of real numbers in the mould of an ijtiff_img (indexed
as img[y, x, channel, frame]) with 4 attributes:
threshA positive integer, possibly an object of class autothresholdr::th detailing which threshold and thresholding method was used in preprocessing (in the multi-channel case, one threshold per channel is given).
swapsA non-negative integer
indicating the number of swaps Robin Hood detrending, with an attribute
auto which is a logical indicating whether or not the parameter was chosen
automatically (in the multi-channel case, one threshold per channel is
given).
filtWas mean or median filtering used in postprocessing?