Module « scipy.ndimage »

Fonction spline_filter - module scipy.ndimage

Signature de la fonction spline_filter

def spline_filter(input, order=3, output=<class 'numpy.float64'>, mode='mirror') 

Description

spline_filter.__doc__

    Multidimensional spline filter.

    For more details, see `spline_filter1d`.

    See Also
    --------
    spline_filter1d : Calculate a 1-D spline filter along the given axis.

    Notes
    -----
    The multidimensional filter is implemented as a sequence of
    1-D spline filters. The intermediate arrays are stored
    in the same data type as the output. Therefore, for output types
    with a limited precision, the results may be imprecise because
    intermediate results may be stored with insufficient precision.

    For complex-valued `input`, this function processes the real and imaginary
    components independently.

    .. versionadded:: 1.6.0
        Complex-valued support added.

    Examples
    --------
    We can filter an image using multidimentional splines:

    >>> from scipy.ndimage import spline_filter
    >>> import matplotlib.pyplot as plt
    >>> orig_img = np.eye(20)  # create an image
    >>> orig_img[10, :] = 1.0
    >>> sp_filter = spline_filter(orig_img, order=3)
    >>> f, ax = plt.subplots(1, 2, sharex=True)
    >>> for ind, data in enumerate([[orig_img, "original image"],
    ...                             [sp_filter, "spline filter"]]):
    ...     ax[ind].imshow(data[0], cmap='gray_r')
    ...     ax[ind].set_title(data[1])
    >>> plt.tight_layout()
    >>> plt.show()