nb-img-classes {nandb} | R Documentation |
Number and brightness image classes.
Description
The number_img
and brightness_img
classes are designed to hold objects
which are images calculated from the number and brightness technique.
Usage
number_img(img, def, thresh, swaps, filt)
brightness_img(img, def, thresh, swaps, filt)
Arguments
img |
The calculated number or brightness image. |
def |
The number or brightness definition used. |
thresh |
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. |
swaps |
A non-negative integer with an attribute |
filt |
A string, the filtering method used. Must be either |
Details
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:
def
Are we using the
"N"
or"n"
definition of number, or the"B"
or"epsilon"
definition of brightness?thresh
A 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).
swaps
A 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).filt
Was mean or median filtering used in postprocessing?
Value
An object of class number_img
or brightness_img
.