mantidimaging.core.operations.remove_large_stripe.remove_large_stripe module

class mantidimaging.core.operations.remove_large_stripe.remove_large_stripe.RemoveLargeStripesFilter[source]

Bases: BaseFilter

Stripe and ring artifact removal: Algorithm 5 in Vo et al., Optics Express 28396 (2018). Remove large stripes by: locating stripes, normalizing them to remove full stripes, using the sorting technique to remove partial stripes.

Source: https://github.com/algotom/algotom

Intended to be used on: Sinograms When: If stripes artifacts are present that have not been removed with outliers + flat-fielding the projections

Caution: Horizontal stripes caused by changes in image intensity (pixel values) should be fixed by ROI Normalisation instead!

static execute_wrapper(snr: QDoubleSpinBox, la_size: QSpinBox)[source]

Should construct a partial call to _filter_func using values taken from the widgets passed to this function as kwargs. :param kwargs: widgets which contain values required for _filter_func. :return: a partial call to _filter_func using parameters taken from the input widgets.

static filter_func(images, snr=3, la_size=61, cores=None, chunksize=None, progress=None)[source]

Executes the filter algorithm on a given set of image data with the given parameters.

Parameters:

  • data – the image data to apply the filter to

  • kwargs – any additional arguments which the specific filter uses

Returns:

the image data after applying the filter

filter_name = 'Remove large stripes'
static group_name() → FilterGroup[source]
static register_gui(form, on_change, view)[source]

Adds any required input widgets to the given form and returns references to them.

The return values should be in a dict which can be unpacked as kwargs for a call to the operations execute_wrapper.

Parameters:

  • view –

  • form – the layout to create input widgets in

  • on_change – the filter view action to be bound to all created inputs

Returns:

the widgets bound as kwargs which are needed to call execute_wrapper