[Insight-users] Reuse of filter with different parameters and images
Jon Haitz Legarreta
jhlegarreta at vicomtech.org
Thu Nov 8 02:47:08 EST 2012
Dear Krzysztof,
you are actually generating a circular loop.
You may want to use the DisconnectPipeline method for the first output you
are getting so that your data objects gets disconnected from the upstream
pipeline. Then, plugging this input to the filter should do the trick, if
I'm not wrong.
Anyway, using two separate filters for your program is a completely
acceptable solution.
Kind regards,
JON HAITZ
On 8 November 2012 04:54, Krzysztof J. Rechowicz <k.rechowicz at gmail.com>wrote:
> Hello,
>
>
> In the piece of code I am working on I want to reuse ResampleFilter.
> The first use downscale the image to low resolution (which is
> performed correctly) and then the output is used to be upscaled using
> bicubic interpolation. After this operation, the resulting image is
> identical as the image that was read in (the original image before
> applying any filters) instead of being blurred. Using another instance
> of the filter for the second part works well and produces the right
> output. How to correctly reuse a filter (in this case ResampleFilter)?
>
> Thank you in advance,
>
> Krzysztof
>
> // Instantiate the transform and specify it should be the id transform.
> TransformType::Pointer _pTransform = TransformType::New();
> _pTransform->SetIdentity();
> // Instantiate the b-spline interpolator and set it as the third order
> // for bicubic.
> InterpolatorType::Pointer _pInterpolator = InterpolatorType::New();
> _pInterpolator->SetSplineOrder(3);
>
> // Instantiate the resampler. Wire in the transform and the interpolator.
> ResampleFilterType::Pointer _pResizeFilter = ResampleFilterType::New();
> _pResizeFilter->SetTransform(_pTransform);
> _pResizeFilter->SetInterpolator(_pInterpolator);
>
> const double vfOutputOrigin[2] = { 0.0, 0.0 };
> _pResizeFilter->SetOutputOrigin(vfOutputOrigin);
>
> // Fetch original image size.
> const ImageType::RegionType& inputRegion =
> image->GetLargestPossibleRegion();
> const ImageType::SizeType& vnInputSize = inputRegion.GetSize();
> unsigned int nOldWidth = vnInputSize[0];
> unsigned int nOldHeight = vnInputSize[1];
>
> unsigned int nNewWidth = vnInputSize[0]/scale;
> unsigned int nNewHeight = vnInputSize[1]/scale;
>
> // Fetch original image spacing.
> const ImageType::SpacingType& vfInputSpacing = image->GetSpacing();
>
> double vfOutputSpacing[2];
> vfOutputSpacing[0] = vfInputSpacing[0] * (double) nOldWidth / (double)
> nNewWidth;
> vfOutputSpacing[1] = vfInputSpacing[1] * (double) nOldHeight /
> (double) nNewHeight;
>
> _pResizeFilter->SetOutputSpacing(vfOutputSpacing);
> itk::Size<2> vnOutputSize = { {nNewWidth, nNewHeight} };
> _pResizeFilter->SetSize(vnOutputSize);
> _pResizeFilter->SetInput(image);
> _pResizeFilter->Update();
> ImageType::Pointer lores = _pResizeFilter->GetOutput();
> _pResizeFilter->UpdateLargestPossibleRegion();
>
>
> const ImageType::RegionType& inputRegion2 =
> lores->GetLargestPossibleRegion();
> const ImageType::SizeType& vnInputSize2 =
> inputRegion2.GetSize();
> nOldWidth = vnInputSize2[0];
> nOldHeight = vnInputSize2[1];
> //
> nNewWidth = vnInputSize2[0]*scale;
> nNewHeight = vnInputSize2[1]*scale;
> const ImageType::SpacingType& vfInputSpacingLow =
> lores->GetSpacing();
> vfOutputSpacing[0] = vfInputSpacingLow[0] * (double)
> nOldWidth /
> (double) nNewWidth;
> vfOutputSpacing[1] = vfInputSpacingLow[1] * (double)
> nOldHeight /
> (double) nNewHeight;
>
> _pResizeFilter->SetTransform(_pTransform);
> _pResizeFilter->SetInterpolator(_pInterpolator);
> _pResizeFilter->SetOutputOrigin(vfOutputOrigin);
> _pResizeFilter->SetOutputSpacing(vfOutputSpacing);
> vnOutputSize[0] = nNewWidth;
> vnOutputSize[1] = nNewHeight;
> _pResizeFilter->SetSize(vnOutputSize);
> _pResizeFilter->UpdateLargestPossibleRegion();
> _pResizeFilter->SetInput(lores);
> _pResizeFilter->Modified();
> _pResizeFilter->Update();
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