On 2008-10-25 12:41:51 -0500, [EMAIL PROTECTED] said:
Kevin D. Smith:
What I want is a two color output image: black where the image wasn't
different, and white where it was different.<
There are several ways to do that. If speed isn't essential, then you
can create a third blank image of the right size, and then use the
method that iterates on the pixels of an image, and assign p1 != p2 at
every pixel of the third image.
If speed is important you can copy the images into numpy arrays and
then your operation becomes easy.
Maybe there are built-in ways in PIL too, I don't know. You can also
find an intermediate solution, like computing the difference image
with PIL and then binarize it manually.
This last method is what I ended up doing for now. I use the PIL
differencing function, then walk through the result of getdata() to
binarize it. I was hoping there might be a way to run a filter or
something that might be faster, but I haven't figured it out.
--
Kevin D. Smith
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