def assd(result, reference, voxelspacing=None, connectivity=1):
    """
    Average symmetric surface distance.
    
    Computes the average symmetric surface distance (ASD) between the binary objects in
    two images.
    
    Parameters
    ----------
    result : array_like
        Input data containing objects. Can be any type but will be converted
        into binary: background where 0, object everywhere else.
    reference : array_like
        Input data containing objects. Can be any type but will be converted
        into binary: background where 0, object everywhere else.
    voxelspacing : float or sequence of floats, optional
        The voxelspacing in a distance unit i.e. spacing of elements
        along each dimension. If a sequence, must be of length equal to
        the input rank; if a single number, this is used for all axes. If
        not specified, a grid spacing of unity is implied.
    connectivity : int
        The neighbourhood/connectivity considered when determining the surface
        of the binary objects. This value is passed to
        `scipy.ndimage.morphology.generate_binary_structure` and should usually be :math:`> 1`.
        The decision on the connectivity is important, as it can influence the results
        strongly. If in doubt, leave it as it is.         
        
    Returns
    -------
    assd : float
        The average symmetric surface distance between the object(s) in ``result`` and the
        object(s) in ``reference``. The distance unit is the same as for the spacing of 
        elements along each dimension, which is usually given in mm.
        
    See also
    --------
    :func:`asd`
    :func:`hd`
    
    Notes
    -----
    This is a real metric, obtained by calling and averaging
    
    >>> asd(result, reference)
    
    and
    
    >>> asd(reference, result)
    
    The binary images can therefore be supplied in any order.
    """
    assd = numpy.mean( (asd(result, reference, voxelspacing, connectivity), asd(reference, result, voxelspacing, connectivity)) )
    return assd
def assd ( result , reference , voxelspacing = None , connectivity = 1 ) : assd = numpy . mean ( ( asd ( result , reference , voxelspacing , connectivity ) , asd ( reference , result , voxelspacing , connectivity ) ) ) return assd
Average symmetric surface distance.
    
    Computes the average symmetric surface distance (ASD) between the binary objects in
    two images.
    
    Parameters
    ----------
    result : array_like
        Input data containing objects. Can be any type but will be converted
        into binary: background where 0, object everywhere else.
    reference : array_like
        Input data containing objects. Can be any type but will be converted
        into binary: background where 0, object everywhere else.
    voxelspacing : float or sequence of floats, optional
        The voxelspacing in a distance unit i.e. spacing of elements
        along each dimension. If a sequence, must be of length equal to
        the input rank; if a single number, this is used for all axes. If
        not specified, a grid spacing of unity is implied.
    connectivity : int
        The neighbourhood/connectivity considered when determining the surface
        of the binary objects. This value is passed to
        `scipy.ndimage.morphology.generate_binary_structure` and should usually be :math:`> 1`.
        The decision on the connectivity is important, as it can influence the results
        strongly. If in doubt, leave it as it is.         
        
    Returns
    -------
    assd : float
        The average symmetric surface distance between the object(s) in ``result`` and the
        object(s) in ``reference``. The distance unit is the same as for the spacing of 
        elements along each dimension, which is usually given in mm.
        
    See also
    --------
    :func:`asd`
    :func:`hd`
    
    Notes
    -----
    This is a real metric, obtained by calling and averaging
    
    >>> asd(result, reference)
    
    and
    
    >>> asd(reference, result)
    
    The binary images can therefore be supplied in any order.