Re: [Numpy-discussion] [nd_image] histograms of RGB images

[Andrew S. <str...@as...>]

See this example. You don't really need pylab/matplotlib -- you could
just use numpy.histogram.

import pylab
import matplotlib.numerix as nx
import Image

im = Image.open('data/lena.jpg')
imbuf = im.tostring('raw','RGB',0,-1)
imnx = nx.fromstring(imbuf,nx.UInt8)
imnx.shape = im.size[1], im.size[0], 3

bins = nx.arange(0,256)
pylab.hist( nx.ravel(imnx[:,:,0]), bins=bins, facecolor='r', edgecolor='r' )
pylab.hist( nx.ravel(imnx[:,:,1]), bins=bins, facecolor='g', edgecolor='g' )
pylab.hist( nx.ravel(imnx[:,:,2]), bins=bins, facecolor='b', edgecolor='b' )
pylab.show()

Curzio Basso wrote:

>Hello everybody!
>
>I was wondering if someone already had the problem of computing
>histograms of RGB images for all channels simultaneously (that is
>getting a rank-3 array) rather than on the three channels separately.
>Just looking for a way to avoid writing the C function :-)
>
>cheers
>curzio
>
>
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