The cc_number_img and cc_brightness_img classes are designed to hold
objects which are images calculated from the cross-correlated number and
brightness technique.
cc_number_img(img, thresh, swaps, filt)cc_brightness_img(img, thresh, swaps, filt)
The calculated cross-correlated number or brightness image.
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 cc_number_img or cc_brightness_img.
An object of class cc_number_img or cc_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 3 attributes:
swapsA non-negative integer indicating the number of
swaps used for 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 swaps per channel is given).
filtWas mean or median filtering used in postprocessing?