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<p class=MsoNormal>Dear all:<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>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.<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>As such, I introduced Trilinos for every matrix linear calculation
I needed.<o:p></o:p></p>
<p class=MsoNormal>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.<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>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).<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>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.<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>As well, is there any other way to speed up ITK for basic
algorithm if combined with another framework. <o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>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.<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Thanks for any info.<o:p></o:p></p>
<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal>Flo.<o:p></o:p></p>
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