stouputils.data_science.data_processing.image.bias_field_correction module#

bias_field_correction_image(image: ndarray[Any, dtype[Any]], ignore_dtype: bool = False) → ndarray[Any, dtype[Any]][source]#

Apply a bias field correction to an image. (N4 Filter)

Parameters:

  • image (NDArray[Any]) – Image to apply the bias field correction (can’t be 8-bit unsigned integer)

  • ignore_dtype (bool) – Ignore the dtype check

Returns:

Image with the curvature flow filter applied

Return type:

NDArray[Any]

>>> ## Basic tests
>>> image = np.random.randint(0, 255, size=(10,10), dtype=np.uint8) / 255
>>> corrected = bias_field_correction_image(image)
>>> corrected.shape == image.shape
True
>>> corrected.dtype == np.float64
True

>>> ## Test invalid inputs
>>> bias_field_correction_image("not an image")
Traceback (most recent call last):
        ...
AssertionError: Image must be a numpy array