unwrap_phase(image, wrap_around=False, seed=None)
From an image wrapped to lie in the interval [-pi, pi), recover the original, unwrapped image.
The values should be in the range [-pi, pi). If a masked array is provided, the masked entries will not be changed, and their values will not be used to guide the unwrapping of neighboring, unmasked values. Masked 1D arrays are not allowed, and will raise a :None:None:`ValueError`.
When an element of the sequence is :None:None:`True`, the unwrapping process will regard the edges along the corresponding axis of the image to be connected and use this connectivity to guide the phase unwrapping process. If only a single boolean is given, it will apply to all axes. Wrap around is not supported for 1D arrays.
Unwrapping 2D or 3D images uses random initialization. This sets the seed of the PRNG to achieve deterministic behavior.
If called with a masked 1D array or called with a 1D array and wrap_around=True
.
Unwrapped image of the same shape as the input. If the input :None:None:`image` was a masked array, the mask will be preserved.
Recover the original from a wrapped phase image.
>>> c0, c1 = np.ogrid[-1:1:128j, -1:1:128j]See :
... image = 12 * np.pi * np.exp(-(c0**2 + c1**2))
... image_wrapped = np.angle(np.exp(1j * image))
... image_unwrapped = unwrap_phase(image_wrapped)
... np.std(image_unwrapped - image) < 1e-6 # A constant offset is normal True
The following pages refer to to this document either explicitly or contain code examples using this.
skimage.restoration.unwrap.unwrap_phase
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