mirror of
https://github.com/wassname/scikit-image.git
synced 2026-07-13 16:08:01 +08:00
Jostein Bø Fløystad
56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
import numpy as np
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import _unwrap_2d
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import _unwrap_3d
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def unwrap(wrapped_array, wrap_around=False):
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'''From ``image``, wrapped to lie in the interval [-pi, pi), recover the
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original, unwrapped image.
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Parameters
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----------
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image : 2D or 3D ndarray, optionally a masked array
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wrap_around : bool or sequence of bool
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Returns
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-------
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image_unwrapped : array_like
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'''
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wrapped_array = np.require(wrapped_array, np.float32, ['C'])
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if wrapped_array.ndim not in (2, 3):
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raise ValueError('image must be 2 or 3 dimensional')
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if isinstance(wrap_around, bool):
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wrap_around = [wrap_around] * wrapped_array.ndim
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elif (hasattr(wrap_around, '__getitem__')
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and not isinstance(wrap_around, basestring)):
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if not len(wrap_around) == wrapped_array.ndim:
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raise ValueError('Length of wrap_around must equal the '
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'dimensionality of image')
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wrap_around = [bool(wa) for wa in wrap_around]
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else:
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raise ValueError('wrap_around must be a bool or a sequence with '
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'length equal to the dimensionality of image')
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wrapped_array_masked = np.ma.asarray(wrapped_array)
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unwrapped_array = np.empty_like(wrapped_array_masked.data)
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if wrapped_array.ndim == 2:
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_unwrap_2d._unwrap2D(wrapped_array_masked.data,
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np.ma.getmaskarray(wrapped_array_masked).astype(np.uint8),
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unwrapped_array,
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wrap_around[0], wrap_around[1])
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elif wrapped_array.ndim == 3:
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_unwrap_3d._unwrap3D(wrapped_array_masked.data,
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np.ma.getmaskarray(wrapped_array_masked).astype(np.uint8),
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unwrapped_array,
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wrap_around[0], wrap_around[1], wrap_around[2])
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if np.ma.isMaskedArray(wrapped_array):
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return np.ma.array(unwrapped_array, mask = wrapped_array_masked.mask)
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else:
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return unwrapped_array
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#TODO: set_fill to minimum value
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#TODO: check for empty mask, not a single contiguous pixel
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