def volume_correlation(results, references):
    r"""
    Volume correlation.
    
    Computes the linear correlation in binary object volume between the
    contents of the successive binary images supplied. Measured through
    the Pearson product-moment correlation coefficient. 
    
    Parameters
    ----------
    results : sequence of array_like
        Ordered list of input data containing objects. Each array_like will be
        converted into binary: background where 0, object everywhere else.
    references : sequence of array_like
        Ordered list of input data containing objects. Each array_like will be
        converted into binary: background where 0, object everywhere else.
        The order must be the same as for ``results``.
    
    Returns
    -------
    r : float
        The correlation coefficient between -1 and 1.
    p : float
        The two-side p value.
        
    """
    results = numpy.atleast_2d(numpy.array(results).astype(numpy.bool))
    references = numpy.atleast_2d(numpy.array(references).astype(numpy.bool))
    
    results_volumes = [numpy.count_nonzero(r) for r in results]
    references_volumes = [numpy.count_nonzero(r) for r in references]
    
    return pearsonr(results_volumes, references_volumes)
r"""
    Volume correlation.
    
    Computes the linear correlation in binary object volume between the
    contents of the successive binary images supplied. Measured through
    the Pearson product-moment correlation coefficient. 
    
    Parameters
    ----------
    results : sequence of array_like
        Ordered list of input data containing objects. Each array_like will be
        converted into binary: background where 0, object everywhere else.
    references : sequence of array_like
        Ordered list of input data containing objects. Each array_like will be
        converted into binary: background where 0, object everywhere else.
        The order must be the same as for ``results``.
    
    Returns
    -------
    r : float
        The correlation coefficient between -1 and 1.
    p : float
        The two-side p value.