mantidimaging.core.operations.remove_stripe_filtering.remove_stripe_filtering module

class mantidimaging.core.operations.remove_stripe_filtering.remove_stripe_filtering.RemoveStripeFilteringFilter[source]

Bases: BaseFilter

Stripe and ring artifact removal. Combination of algorithm 2 and algorithm 3 in Vo et al., Optics Express 28396 (2018). Removing stripes using the filtering and sorting technique.

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 compute_function(index: int, array: ndarray, params: Dict[str, Any])[source]
static compute_function_2d(index: int, array: ndarray, params: Dict[str, Any])[source]
static compute_function_2d_sino(index: int, array: ndarray, params: Dict[str, Any])[source]
static compute_function_sino(index: int, array: ndarray, params: Dict[str, Any])[source]
static execute_wrapper(sigma: QSpinBox, size: QSpinBox, window_dim: QSpinBox, filtering_dim: 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.

classmethod filter_func(images: ImageStack, sigma=3, size=21, window_dim=1, filtering_dim=1, progress=None)[source]
Parameters:

  • sigma – The sigma of the Gaussian window used to separate the low-pass and high-pass components of the intensity profile of each column.

  • size – The window size of the median filter to remove large stripes.

  • window_dim – Whether to perform the median on 1D or 2D view of the data.

  • filtering_dim – Whether to use a 1D or 2D low-pass filter. This uses different Sarepy methods.

Returns:

The ImageStack object with the stripes removed using the filtering and sorting technique.

filter_name = 'Remove stripes with filtering'
static group_name() → FilterGroup[source]
operate_on_sinograms = True
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