Imaging libraries in active development?

Sun Dec 2 08:16:47 EST 2012

Alasdair McAndrew <amc... at gmail.com> on 2012年11月29日 wrote:
 > Probably the combinations of OpenCV, Scipy.ndimage and scikits-image 
 > would cover pretty much all of my needs.
Hi,
All of those (+ mahotas, which is the package I wrote & imread which 
might be useful for microscopy file formats) will work on numpy arrays 
(openCV requires a bit of conversion back and forth, but it will work). 
Therefore, it is not much of a bother to mix&match functions from one or 
the other library::
 import mahotas as mah
 import imread
 import skimage
 import pylab
 image = imread.imread("my-fancy-image.jpeg")
 filtered = mah.gaussian_filter(image, 4.)
 segmented = skimage.segmentation.quickshift(filtered)
 pylab.imshow(segmented)
...
I just mixed 4 different packages seamlessly in this example. This will 
work flawlessly.
mahotas & skimage are both under very active development, but neither is 
unstable (i.e., we keep adding new features, but the existing code is 
very reliable). scipy.ndimage is sort of dead: I scavenged its code for 
good bits and pieces for mahotas, but nobody is developing ndimage.
If you run into specific issues, the mailing list pythonvision at
https://groups.google.com/forum/#!forum/pythonvision
is a good forum. Plenty of people from different projects lurk there.
HTH,
Luis