[Insight-users] Itk and OpenCV

[Flo]

Dear all:

 

I am quite familiar with ITK. However, and despite the greatness (I'm
sincerely thanking any contributors here) of its content, I'm looking
forward to speeding up my applications now.

 

As such, I introduced Trilinos for every matrix linear calculation I needed.

As well, I would like to introduce another framework that could speed up
basic filters such as erosion / dilatation / region growing as I feel ITK is
a tide slow in these areas.

 

My architecture is Linux/Windows on Intel platform with a Quadcore. As such,
I had a look at Intel OpenCV and Intel IPP (as a side note, it is funny to
see that Intel provide the IPP for free under Linux only if it's for
non-commercial usage of any kind and/or non-funded development of any kind -
stating that a student's internship falls into commercial usage as at least
the university gets funds from the government).

 

Thus, and before starting recoding part of my applications, I would
appreciate the feedbacks of any ITK user as per mixing OpenCV with ITK
regarding a potential speed gain.

 

As well, is there any other way to speed up ITK for basic algorithm if
combined with another framework. 

 

My end goal is to have a fast Expectation-Maximization Code for image
segmentation without the trouble of converting an itkImage into a Vector and
then to a List to finally feed the EM algorithm, a process that takes lots
of time to my understanding.

 

Thanks for any info.

 

Flo.

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