[Insight-users] Sparse image for building distance field
Sergiy Tkachuk
sergtk.job at gmail.com
Thu Mar 28 17:59:37 EDT 2013
Hi Dan,
Thanks a lot for the link!
It looks like what I was looking for!
I tried code and just substituted itk::Image with itk::SparseImage and it
works!
I read your article before at
http://www.kitware.com/media/html/AlternativeMemoryModelsForITK.html .
After this I looked at
http://www.itk.org/Doxygen/html/classitk_1_1SparseImage.html and this
completely measleaded me - implementation of SparseImage in ITK is do
something different. But SparseImage at
http://www.insight-journal.org/browse/publication/646 is ok!
Thanks,
--
Best wishes,
Sergiy Tkachuk
On Fri, Mar 22, 2013 at 9:58 PM, Dan Mueller <dan.muel at gmail.com> wrote:
> Hi Sergiy,
>
> You might also be interested in the following Insight Journal article:
> http://www.insight-journal.org/browse/publication/646
>
> It is quite old, so I doubt it will compile with the latest ITK without
> modifications...
>
> HTH
>
> Cheers, Dan
>
>
> On 22 March 2013 23:16, Sergiy Tkachuk <sergtk.job at gmail.com> wrote:
>
>> Hello all,
>>
>> I want to build distance field for the object.
>> My object is very sparsed and I want to build distance field for it and
>> not to allocate memory for every voxel in the grid.
>> Number of voxel in 3d grid is about 10^10 (more precisely: 2000x2000x2000)
>> Number of voxel in object itself is about 10^6.
>>
>> I tried to play with itk::SignedMaurerDistanceMapImageFilter creating
>> image 5x5x5 in sandbox:
>>
>>
>> const unsigned int Dimension = 3;
>> typedef char InputPixelType;
>> typedef float OutputPixelType;
>>
>> typedef itk::Image<InputPixelType, Dimension> InputImageType;
>> typedef itk::Image<OutputPixelType, Dimension> OutputImageType;
>>
>> InputImageType::Pointer image = InputImageType::New();
>>
>> InputImageType::SizeType size;
>> size[0] = 5;
>> size[1] = 5;
>> size[2] = 5;
>>
>> InputImageType::IndexType start;
>> start.Fill(0);
>>
>> InputImageType::RegionType region;
>> region.SetIndex(start);
>> region.SetSize(size);
>>
>> image->SetRegions(region);
>> image->Allocate();
>>
>> image->FillBuffer(0);
>>
>> InputImageType::IndexType index;
>>
>> // initialize
>> InputImageType::IndexType gapIndex;
>> gapIndex[0] = gapIndex[1] = gapIndex[2] = 2;
>> for (index[0] = 0; index[0] < size[0]; ++index[0])
>> for (index[1] = 0; index[1] < size[1]; ++index[1])
>> for (index[2] = 0; index[2] < size[2]; ++index[2]) {
>> if (index == gapIndex) continue;
>> image->SetPixel(index, 1);
>> }
>>
>> // Define the distance map filter and apply it to the image
>> typedef itk::SignedMaurerDistanceMapImageFilter<InputImageType,
>> OutputImageType> DistanceFilterType;
>> DistanceFilterType::Pointer distanceFilter =
>> DistanceFilterType::New();
>> distanceFilter->SetInput(image);
>> distanceFilter->SetBackgroundValue(0);
>> distanceFilter->SetSquaredDistance(false);
>> distanceFilter->Update();
>>
>> // Output distance field values
>> for (int x = 1; x < size[0]-1; ++x)
>> {
>> for (int y = 1; y < size[1]-1; ++y)
>> {
>> for (int z = 1; z < size[2]-1; ++z)
>> {
>> InputImageType::IndexType ind;
>> ind[0] = x;
>> ind[1] = y;
>> ind[2] = z;
>>
>> float value = distanceFilter->GetOutput()->GetPixel(ind);
>> std::cout << x << " " << y << " " << z << " -> " << value
>> << std::endl;
>> }
>> }
>> }
>>
>>
>> The code works fine.
>> But it requires memory for every voxel of grid, and this is not
>> acceptable for 10^10 voxels.
>>
>> Is it possible to use some kind of sparse structure to build distance
>> field?
>>
>> I read about itk::SparseImage, but it seems this structure is sparse
>> concerning value only, but indices are allocated for the whole grid. Am I
>> undestood correctly? If no, I will be glad if somebody point out where I am
>> mistaken. Thanks.
>>
>> If itk::SparseImage is not sutable in my case, is it possible to
>> implement custom Image format for input to
>> itk::SignedMaurerDistanceMapImageFilter?
>> If so, are the any useful guidelines to achieve this?
>> For now it is not clear for me how to correctly derive my Image type from
>> DataObject and handle regions - I don't need full power of ITK filter
>> pipeline, just to call itk::SignedMaurerDistanceMapImageFilter - possibly
>> this helps me to simplify custom image implementation.
>>
>> Any ideas could be helpful for me!
>>
>> Thanks in advance,
>> Sergiy
>>
>>
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