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DarkFlatFieldCorrection

DarkFlatFieldCorrection


Summary


DarkFlatFieldCorrection
Process categoryBrief description

Computational demand

for typical tomography data

(low, medium, high)

Comment(s)Reference(s)Common alternative process(es)
corrector

To apply the standard dark-and-flat-field normalisation to sample projections.

Low
  1. (projection - dark)/(flat - dark), where dark and flat are computed by averaging all the supplied dark- and flat-field images, respectively.
  2. Needs to be explicitly included in every process list that seeks this correction (specifying the location of dark- and flat-field data in a loader, e.g. NxtomoLoader, is insufficient in this respect).



Parameters


Brief description

Savu Configurator command
>>> disp -avv

-------------------------------------------------------------------------------------
 3) DarkFlatFieldCorrection(savu.plugins.corrections.dark_flat_field_correction)     
  A Plugin to apply a simple dark and flatfield correction to raw timeseries data.   
    1)            in_datasets : []
    Create a list of the dataset(s) to process.
    2)            upper_bound : None
    Set all values above the upper bound to this value.
    3)           out_datasets : []
    Create a list of the dataset(s) to create.
    4)            lower_bound : None
    Set all values below the lower_bound to this value.
    5)                pattern : PROJECTION
    Data processing pattern is 'PROJECTION' or 'SINOGRAM'.
    6)        warn_proportion : 0.05
    Output a warning if this proportion of values, or greater, are below and/or above
    the lower/upper bounds, e.g enter 0.05 for 5%.
-------------------------------------------------------------------------------------

>>> 

Additional notes

For basic information on this process, please use the disp -av (or disp -avv or disp -v[v] <process index>) command in Savu Configurator (see above). The table below is intended to provide some additional notes on a number of selected topics:

ItemParameter nameParameter formatExample(s)Comment(s)
Parameter valueEffect
1

in_datasets





2

upper_bound





3

out_datasets





4

lower_bound





5

pattern





6warn_proportion





Usage

TBC.




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