The cc_number_ts_img and cc_brightness_ts_img classes are designed to
hold objects which are images calculated from the cross-correlated number
and brightness technique.
cc_number_ts_img(img, frames_per_set, overlapped, thresh, swaps, filt)cc_brightness_ts_img(img, frames_per_set, overlapped, thresh, swaps, filt)
The calculated cross-correlated number or brightness time series image series.
The number of frames used in the calculation of each point in the cross-correlated number or brightness time series.
A boolean. TRUE indicates that the windows used to
calculate consecutive brightnesses over time were overlapped, FALSE
indicates that they were not.
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_ts_img or cc_brightness_ts_img.
An object of class cc_number_ts_img or cc_brightness_ts_img is a
4-dimensional array of real numbers in the mould of an
ijtiff_img with 3 attributes:
swapsA non-negative integer indicating the parameter
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).
frames_per_setA positive integer detailing how many frames were used in the calculation of each point in the number or brightness time series.
overlappedA boolean. TRUE indicates that the windows
used to calculate consecutive brightnesses over time were overlapped, FALSE
indicates that they were not.