remove_voronoi_edge_cells

def border_elems(image_2d, pixels=1): # Input array : a, Edgewidth : W
    n = image_2d.shape[0]
    r = np.minimum(np.arange(n)[::-1], np.arange(n))
    return image_2d[np.minimum(r[:,None],r)<pixels]

def remove_integrated_edge_cells(i_points, i_record, p_record, 
                                 pixels=1, inplace=False):
    '''
    Removes any cells that touch within a number of pixels of
    the image border.
    
    Parameters:
    
    
    Returns:
    (if inplace==False):
    i_points : 
    i_record : 
    p_record :  
    '''
    if not inplace:
        i_points = i_points.copy(), 
        i_record = i_record.deepcopy()
        p_record = p_record.copy()
        
    border = border_elems(p_record, pixels)
    border_indices = np.array(list(set(border)))
    indices = np.in1d(p_record, border_indices).reshape(p_record.shape)
    
    i[border_indices] = np.nan
    i_record.data[indices_of_edge_cell] = np.nan
    p_record[indices_of_edge_cell] = -1
    
    if not inplace:
        return i_points, i_record, p_record