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Module « scipy.signal »

Fonction medfilt - module scipy.signal

Signature de la fonction medfilt

def medfilt(volume, kernel_size=None) 

Description

help(scipy.signal.medfilt)

Perform a median filter on an N-dimensional array.

Apply a median filter to the input array using a local window-size
given by `kernel_size`. The array will automatically be zero-padded.

Parameters
----------
volume : array_like
    An N-dimensional input array.
kernel_size : array_like, optional
    A scalar or an N-length list giving the size of the median filter
    window in each dimension.  Elements of `kernel_size` should be odd.
    If `kernel_size` is a scalar, then this scalar is used as the size in
    each dimension. Default size is 3 for each dimension.

Returns
-------
out : ndarray
    An array the same size as input containing the median filtered
    result.

Warns
-----
UserWarning
    If array size is smaller than kernel size along any dimension

See Also
--------
scipy.ndimage.median_filter
scipy.signal.medfilt2d

Notes
-----
The more general function `scipy.ndimage.median_filter` has a more
efficient implementation of a median filter and therefore runs much faster.

For 2-dimensional images with ``uint8``, ``float32`` or ``float64`` dtypes,
the specialised function `scipy.signal.medfilt2d` may be faster.

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