代码可以从我的Ubuntu 11.04上的.tiff图像计算傅立叶变换。在Windows XP上，它会产生内存错误。有什么改变？谢谢。
def fouriertransform(result): #function for Fourier transform computation
for filename in glob.iglob ('*.tif')
imgfourier = scipy.misc.imread(filename) #read the image
arrayfourier = numpy.array([imgfourier])#make an array
# Take the fourier transform of the image.
F1 = fftpack.fft2(arrayfourier)
# Now shift so that low spatial frequencies are in the center.
F2 = fftpack.fftshift(F1)
# the 2D power spectrum is:
psd2D = np.abs(F2)**2
L = psd2D
np.set_printoptions(threshold=3)
#np.set_printoptions(precision = 3, threshold = None, edgeitems = None, linewidth = 3, suppress = True, nanstr = None, infstr = None, formatter = None)
for subarray in L:
for array in subarray:
for array in subarray:
for elem in array:
print '%3.10f\n' % elem
错误输出为：
Traceback (most recent call last):
File "C:\Documents and Settings\HrenMudak\Мои документы\Моя музыка\fourier.py", line 27, in <module>
F1 = fftpack.fft2(arrayfourier)
File "C:\Python27\lib\site-packages\scipy\fftpack\basic.py", line 571, in fft2
return fftn(x,shape,axes,overwrite_x)
File "C:\Python27\lib\site-packages\scipy\fftpack\basic.py", line 521, in fftn
return _raw_fftn_dispatch(x, shape, axes, overwrite_x, 1)
File "C:\Python27\lib\site-packages\scipy\fftpack\basic.py", line 535, in _raw_fftn_dispatch
return _raw_fftnd(tmp,shape,axes,direction,overwrite_x,work_function)
File "C:\Python27\lib\site-packages\scipy\fftpack\basic.py", line 463, in _raw_fftnd
x, copy_made = _fix_shape(x, s[i], waxes[i])
File "C:\Python27\lib\site-packages\scipy\fftpack\basic.py", line 134, in _fix_shape
z = zeros(s,x.dtype.char)
MemoryError
答案 0 :(得分：1)
我尝试运行您的代码，只是我用scipy.misc.imread函数替换mahotas.imread，因为我没有该库，我无法重现您的错误。
进一步评论：
scipy.misc.imread函数而不是mahotas函数吗？我想问题可能就在那里imshow函数。