Try using getdata() on the Image:
im = Image.open("oxygen.png")
im.load()
d = im.getdata()
print list(d)
That will give you a list of the form:
[(r,g,b,a), (r,g,b,a)... ]
Where r=red, g=green, b=blue, and a=alpha. When r==g==b, you have a
gray pixel.
-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
Behalf Of Alberto Troiano
Sent: Tuesday, May 10, 2005 7:09 PM
To: [EMAIL PROTECTED]
Cc: tutor@python.org
Subject: Re: [Tutor] RGB, images
Hey
Can you be a little more specific on how to get certain part of the
image to analyze?????
I managed to split it in all its bands (though I don't know what is
that) How can I work only with the gray part??????
Thanks
Alberto
>From: "D. Hartley" <[EMAIL PROTECTED]>
>Reply-To: "D. Hartley" <[EMAIL PROTECTED]>
>To: Python tutor <tutor@python.org>
>Subject: [Tutor] RGB, images
>Date: Tue, 10 May 2005 14:08:32 -0700
>
> > A shade of gray is made by having r == g == b.
>
>... so this has nothing to do with masks and transparency?
>_______________________________________________
>Tutor maillist - Tutor@python.org
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Gaucho
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