darsia.PriorPosteriorConcentrationAnalysis

class PriorPosteriorConcentrationAnalysis(base, signal_reduction, balancing, restoration, prior_model, posterior_model, labels=None, **kwargs)

Bases: ConcentrationAnalysis

Special case of the ConcentrationAnalysis performing a prior-posterior analysis, i.e., allowing to review the conversion performed through a prior model.

Methods

find_cleaning_filter([baseline_images])	Determine structural noise by studying a series of baseline images.
read_cleaning_filter_from_file(path)	Read cleaning filter from file.
update([base, mask])	Update of the baseline image or parameters.
write_cleaning_filter_to_file(path_to_filter)	Store cleaning filter to file.

Attributes

base	Baseline image.
signal_reduction	Reduction to scalar signal.
balancing	Balancing for heterogeneous signals.
model	Signal to data conversion model.
restoration	Restoration model.
labels	Indicator for heterogeneous image.
first_restoration_then_model	Option for defining order of routines.
mask	Mask.
verbosity	Fetch verbosity.