Re: Parallel image processing using ImageJ in the Cloud

Posted by dscho on Apr 06, 2011; 10:24am
URL: http://imagej.273.s1.nabble.com/Parallel-image-processing-using-ImageJ-in-the-Cloud-tp3685113p3685114.html

Hi Jimmy,

On Mon, 4 Apr 2011, Jimmy Su wrote:

> We recently completed a Phase 1 SBIR project with OSD on the topic of
> analytic tools in the Cloud.

I only understood half the words in that sentence, but I'm quite used to
that :-)

> To demonstrate our tool's ability to construct image processing workflow
> and deploy the generated code to the Cloud, we took ImageJ and added
> some Cloud processing capabilities by using the MapReduce framework.

What exactly did you do in terms of image processing? Some Gaussian Blur,
or Find Edges, or some advanced plug-in? From a technical point of view,
there are huge differences there.

> We added Cloud processing capability to ImageJ by adding a Hadoop
> InputFormat to handle image types in HDFS (Hadoop Distributed File
> System) and encapsulating ImageJ operations in map and reduce methods.

That is _very_ interesting. For a long time I have been wanting to play
with Hadoop now.

> This significantly increases ImageJ's throughput in processing
> images.  Attached is the running time chart showing processing time
> decreases from over 5 hours on two nodes to 15 minutes on 64 nodes on
> Amazon EC2.  Are there any interests in the ImageJ community for
> parallel processing in the Cloud?  What kind of applications are you
> developing that needs ImageJ processing in the Cloud?  We would love
> to hear your feedback.

Two feedbacks from my side:

1) fantastic!
2) where can I get it?

Ciao,
Johannes