1、影象轉換為矩陣

matrix = numpy.asarray(image)    

Help on function asarray in module numpy.core.numeric:

asarray(a, dtype=None, order=None)
    Convert the input to an array.
    
    Parameters
    ----------
    a : array_like
        Input data, in any form that can be converted to an array.  This
        includes lists, lists of tuples, tuples, tuples of tuples, tuples
        of lists and ndarrays.
    dtype : data-type, optional
        By default, the data-type is inferred from the input data.
    order : {'C', 'F'}, optional
        Whether to use row-major (C-style) or
        column-major (Fortran-style) memory representation.
        Defaults to 'C'.
    
    Returns
    -------
    out : ndarray
        Array interpretation of `a`.  No copy is performed if the input
        is already an ndarray with matching dtype and order.  If `a` is a
        subclass of ndarray, a base class ndarray is returned.
    
    See Also
    --------
    asanyarray : Similar function which passes through subclasses.
    ascontiguousarray : Convert input to a contiguous array.
    asfarray : Convert input to a floating point ndarray.
    asfortranarray : Convert input to an ndarray with column-major
                     memory order.
    asarray_chkfinite : Similar function which checks input for NaNs and Infs.
    fromiter : Create an array from an iterator.
    fromfunction : Construct an array by executing a function on grid
                   positions.

2、矩陣轉換為影象

image = Image.fromarray(matrix)

Help on function fromarray in module PIL.Image:

fromarray(obj, mode=None)
    Creates an image memory from an object exporting the array interface
    (using the buffer protocol).
    
    If obj is not contiguous, then the tobytes method is called
    and :py:func:`~PIL.Image.frombuffer` is used.
    
    :param obj: Object with array interface
    :param mode: Mode to use (will be determined from type if None)
      See: :ref:`concept-modes`.
    :returns: An image object.
    
    .. versionadded:: 1.1.6