Module « scipy.signal »

Fonction medfilt - module scipy.signal

Signature de la fonction medfilt

def medfilt(volume, kernel_size=None) 

Description

medfilt.__doc__

    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.