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Module « scipy.ndimage »

Fonction fourier_gaussian - module scipy.ndimage

Signature de la fonction fourier_gaussian

def fourier_gaussian(input, sigma, n=-1, axis=-1, output=None) 

Description

help(scipy.ndimage.fourier_gaussian)

Multidimensional Gaussian fourier filter.

The array is multiplied with the fourier transform of a Gaussian
kernel.

Parameters
----------
input : array_like
    The input array.
sigma : float or sequence
    The sigma of the Gaussian kernel. If a float, `sigma` is the same for
    all axes. If a sequence, `sigma` has to contain one value for each
    axis.
n : int, optional
    If `n` is negative (default), then the input is assumed to be the
    result of a complex fft.
    If `n` is larger than or equal to zero, the input is assumed to be the
    result of a real fft, and `n` gives the length of the array before
    transformation along the real transform direction.
axis : int, optional
    The axis of the real transform.
output : ndarray, optional
    If given, the result of filtering the input is placed in this array.

Returns
-------
fourier_gaussian : ndarray
    The filtered input.

Examples
--------
>>> from scipy import ndimage, datasets
>>> import numpy.fft
>>> import matplotlib.pyplot as plt
>>> fig, (ax1, ax2) = plt.subplots(1, 2)
>>> plt.gray()  # show the filtered result in grayscale
>>> ascent = datasets.ascent()
>>> input_ = numpy.fft.fft2(ascent)
>>> result = ndimage.fourier_gaussian(input_, sigma=4)
>>> result = numpy.fft.ifft2(result)
>>> ax1.imshow(ascent)
>>> ax2.imshow(result.real)  # the imaginary part is an artifact
>>> plt.show()

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