[ITK-users] Region Growing for huge data set

[Dženan Zukić]

Hi Abdelkhalek,

depending on the filters in your pipeline (whether all of them support
streaming), it might be useful to use StreamingImageFilter
<https://itk.org/Doxygen/html/classitk_1_1StreamingImageFilter.html>. If
not, you could have all intermediate results deallocated before starting
the main (most memory intensive) processing step:

ImageType::Pointer intermediate;
//open a block, so that all variables created in it are deallocated at the
end of it
{
//read image
//do some processing
lastFilterInThisBlock->Update();
intermediate=lastFilterInThisBlock->GetOutput();
}
//everything except intermediate will be deallocated at this point, freeing
memory
mainProcessingStep(intermediate);

Regards,
Dženan

On Sun, Nov 13, 2016 at 10:03 AM, Abdelkhalek Bakkari <
bakkari.abdelkhalek at hotmail.fr> wrote:

> Dear ITK users,
>
>
> I am trying to evaluate my region growing ITK code. Unfortunately, for a
> huge data (more than 100 .dcm images), the application turn blocked and
> some errors appear (please find it in attachment)
>
>
> Do you have any suggestion or help ?
>
>
>
> Thank you in advance.
>
>
> Best regards,
>
>
>
> Abdelkhalek Bakkari
> Ph.D candidate in Computer Science
> Institute of Applied Computer Science
> Lodz University of Technology, Poland
>
>
>
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