Chuck Pepe-Ranney wrote:
Hello,
I am wondering if I can use PIL to manipulate some fluorescent
microscopy images. Specifically, I will have two images of the same
field but each will be taken under different emission filters. What I
need to do is loop through the pixels in the first image multiply each
pixel's intensity by a factor then divide it by the intensity of the
spatially corresponding pixel in the second image. There are more
steps to follow but they are seemingly routine image manipulation
tasks. The images will be in tiff format. Would PIL be a suitable
solution to this problem?
I don't claim to be an expert, but here are some suggestions. You can do
simple manipulation in PIL. See for instance the ImageChops, ImageMath,
etc. modules. Also take note of the "pixel access object", new in PIL
1.1.6, described under "load" in
http://www.pythonware.com/library/pil/handbook/image.htm.
Another alternative is to do the image manipulation in numpy/scipy. Also
new in PIL 1.1.6 are operations to convert PIL images to and from numpy
arrays. See asarray() and fromarray() here:
http://effbot.org/zone/pil-changes-116.htm.
Yet another alternative for sophisticated image manipulation is OpenCV,
a C/C++ library with several python interfaces. OpenCV 1.0 is
well-documented in an O'Reilly book. OpenCV 2.0 just came out in beta
(the beta is called 1.2, for some reason), and has an improved python
interface which I have not looked at yet.
Dan
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