mantidimaging.core.operations.circular_mask.circular_mask module#

class mantidimaging.core.operations.circular_mask.circular_mask.CircularMaskFilter[source]#

Masks a circular area around the center of the image, by setting it to a specified value.

Intended to be used on: Reconstructed slices

When: To remove reconstruction artifacts on the outer edge of the image.

Caution: Ensure that the radius does not mask data from the sample.

static compute_function(i: int, arrays: list[ndarray], params: dict[str, Any])[source]#

static execute_wrapper(radius_field=None, value_field=None)[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(data: ImageStack, circular_mask_ratio=0.95, circular_mask_value=0.0, progress=None) → ImageStack[source]#

Parameters:

data – Input data as a 3D numpy.ndarray
circular_mask_ratio – The ratio to the full image. The ratio must be 0 < ratio < 1
circular_mask_value – The value that all pixels in the mask will be set to.

Returns:

The processed 3D numpy.ndarray

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:

Returns:

the widgets bound as kwargs which are needed to call execute_wrapper