The Images.jl package may do some of what you want; there are quite a few of 
us using it. Those of us who have done the most work on it seem to be from the 
field of biological imaging, for which 3d and temporal imaging are very 
important. At least in my personal view, for such applications we're on our 
way to having a pretty nice platform. There are also other supporting 
libraries, like Color.jl, that do some relevant stuff very nicely.

There hasn't been as much recent contribution from folks doing computer 
vision, so it seems likely that you'll find some important algorithms missing. 
There has been recent interest in providing an OpenCV wrapper, which certainly 
would help. However, we probably don't really need all of OpenCV, because many 
of the algorithms that generalize beyond images are implemented in other 
packages.

You should probably check out the package list, 
http://docs.julialang.org/en/latest/packages/packagelist/
to learn more about what is and isn't yet available.

Best,
--Tim

On Wednesday, April 23, 2014 03:24:08 PM Eren Gölge wrote:
> I am aware of Julia's computational benefits compared to other programming
> languages but most important inability is about the libraries, especially
> for computer vision problems. Is there any group already dealing to
> implement some basic image manipulation functions like in Matlab or do I
> need to reinvent the wheel if I suppose to use it in my research ?

Reply via email to