mantidimaging.core.operations.rescale.rescale module

class mantidimaging.core.operations.rescale.rescale.RescaleFilter[source]

Bases: BaseFilter

Rescales the image data to a new [0, maximum output] range.

Intended to be used on: Any

When: Automatically used when saving as unsigned integer image formats, to avoid clipping negative values

static execute_wrapper(min_input_widget: QDoubleSpinBox, max_input_widget: QDoubleSpinBox, max_output_widget: QDoubleSpinBox, preset_widget: QComboBox) → partial[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: Images, min_input: float = 0.0, max_input: float = 10000.0, max_output: float = 256.0, progress=None, data_type=None) → Images[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 = 'Rescale'
static filter_single_image(image: ~numpy.ndarray, min_input: float, max_input: float, max_output: float, data_type=<class 'numpy.float32'>) → ndarray[source]
static register_gui(form, on_change, view: FiltersWindowView) → Dict[str, Any][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

static validate_execute_kwargs(kwargs: Dict[str, Any]) → bool[source]