[Insight-users] Cast itkImage to Matlab emxArray

Luca Tersi lucatersi at gmail.com
Fri Oct 18 12:04:23 EDT 2013


It works like a charm.
Thank you
Luca


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On 18 October 2013 17:36, Bradley Lowekamp <brad at lowekamp.net> wrote:

> Hello,
>
> The GetBufferPointer is a method, and I would try to avoid that in a tight
> loop.
>
> Here is a recent implementation to efficiently copy ITK regions:
>
> https://github.com/Kitware/ITK/blob/master/Modules/Core/Common/include/itkImageAlgorithm.hxx#L137
>
> We have found that std::copy is a very robust and efficient way to copy
> the buffers with modern compilers. It can even work when a conversion is
> needed.
>
> If you have validated the buffer is continuous and is the correct type and
> size. I would recommend just getting the raw buffer pointer and using
> std::copy. It may be up  to 10-100X faster than your implementation below.
>
>
> On Oct 18, 2013, at 11:28 AM, Luca Tersi <lucatersi at gmail.com> wrote:
>
> Hi,
>
> I've included some algorithms developed with Matlab in my C++ software.
> The Matlab algorithms were translated to C++ using Matlab Coder.
> I've some images that have to be passed back and forth from the itk
> pipeline to the Matlab algorithm that work with emxArray data type.
> I've made the following methods in order to copy the data, but is there
> any better and faster method? Moreover, is it better to use iterators or
> access the buffer directly?
>
> void
> ImageProcessing::CopyItkToMatlabImage(ImageProcessing::RealImageType::Pointer
> itkI, emxArray_real_T *matlabI)
> {
>   RealImageType::SizeType size =
> itkI->GetLargestPossibleRegion().GetSize();
>
>   for (int ii=0; ii < size[0]; ++ii)
>     for (int jj=0; jj < size[1]; ++jj)
>       {
>         matlabI->data[ii*size[0]+jj] =
> (real_T)itkI->GetBufferPointer()[ii*size[0]+jj];
>       }
> }
>
>
>
> void ImageProcessing::CopyMatlabToItkImage(emxArray_real_T * matlabI,
> ImageProcessing::RealImageType::Pointer itkI)
> {
>
>   int32_T *size = matlabI->size;
>   RealIteratorType out ( itkI, itkI->GetLargestPossibleRegion() );
>   out.GoToBegin();
>
>   for (int ii=0; ii < size[0]; ++ii)
>     for (int jj=0; jj < size[1]; ++jj)
>       {
>         out.Set(matlabI->data[ii*size[0]+jj]);
>         ++out;
>       }
> }
>
> Thanks a lot
>
> Luca
>
> ---
>
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