Why so different from Matlab to matplotlib (fft2 question)?

That's the problem, I believe. 'imread' in mpl always reads

    > images in as MxNx4, while Matlab will check if the image is
    > B&W and just do MxN. Is there any way to force MxN behaviour
    > in mpl?

No way currently, but one could modify the png reader to do it....
Probably easiest is to use PIL and get a grayscale numpy array out,
then mpl's colormapping and normalization will work as advertised.

JDH

Beautiful, that worked like a charm.

from PIL import Image
im = Image.open("4kSnake.png")
a = scipy.asarray(im)
ft = fftpack.fftshift(fftpack.fft2(a))
...

Perfect!

Thanks so much,
Jay P.

···

On 1/26/07, John Hunter <jdhunter@...4...> wrote:

    > That's the problem, I believe. 'imread' in mpl always reads
    > images in as MxNx4, while Matlab will check if the image is
    > B&W and just do MxN. Is there any way to force MxN behaviour
    > in mpl?

No way currently, but one could modify the png reader to do it....
Probably easiest is to use PIL and get a grayscale numpy array out,
then mpl's colormapping and normalization will work as advertised.