Since PIL Images now have array interfaces, it has become a lot
simpler. The following should do the job:
from numpy import array
from PIL import Image
def imread(fname,flatten=False):
Return a copy of a PIL image as a numpy array.
*Parameters*:
im : PIL image
Input image.
flatten : bool
If true, convert the output to grey-scale.
*Returns*:
img_array : ndarray
The different colour bands/channels are stored in the
third dimension, such that a grey-image is MxN, an
RGB-image MxNx3 and an RGBA-image MxNx4.
im = Image.open(fname)
if flatten:
im = im.convert('F')
return array(im)
Cheers
Stéfan
On Mon, Nov 05, 2007 at 12:58:45PM +0200, Nadav Horesh wrote:
If the image is in the form of a standard image format (png, bmp, jpeg...) you
can use the PIL library. png file can be read by pylab's imread function.
Nadav.
On Sun, 2007-11-04 at 23:37 -0800, [EMAIL PROTECTED] wrote:
hi
i wish to convert an rgb image into an array of double values..is
there a method for that in numpy?
also i want to create an array of doubles into corresponding rgb
tuples of an image
can anyone guide me?
dn
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