ITK  4.13.0
Insight Segmentation and Registration Toolkit
WikiExamples/ImageProcessing/ResampleSegmentedImage.cxx
#include "itkImage.h"
#include "itkRGBPixel.h"
#include "QuickView.h"
#include <iostream>
typedef unsigned short InputPixelType;
typedef itk::RGBPixel<unsigned char> RGBPixelType;
typedef itk::Image<RGBPixelType, 2> RGBImageType;
ImageType::PixelType, RGBImageType::PixelType> ColormapType;
static void CreateRandomColormap(unsigned int size, ColormapType::Pointer colormap);
int main( int argc, char * argv[] )
{
if( argc != 3 )
{
std::cerr << "Usage: " << argv[0]
<< " inputImageFile pixelSize"
<< std::endl;
return EXIT_FAILURE;
}
double spacing = atof(argv[2]);
typedef itk::ImageFileReader<ImageType> ReaderType;
// Identity transform.
// We don't want any transform on our image except rescaling which is not
// specified by a transform but by the input/output spacing as we will see
// later.
// So no transform will be specified.
TransformType;
GaussianInterpolatorType;
NearestNeighborInterpolatorType;
ResampleFilterType;
// Prepare the reader and update it right away to know the sizes beforehand.
ReaderType::Pointer reader =
ReaderType::New();
reader->SetFileName( argv[1] );
reader->Update();
// Instantiate the transform and specify it should be the identity transform.
TransformType::Pointer transform =
TransformType::New();
transform->SetIdentity();
// Instantiate the interpolators
GaussianInterpolatorType::Pointer gaussianInterpolator =
GaussianInterpolatorType::New();
gaussianInterpolator->SetSigma(1.0);
gaussianInterpolator->SetAlpha(3.0);
NearestNeighborInterpolatorType::Pointer nearestNeighborInterpolator =
NearestNeighborInterpolatorType::New();
// Instantiate the resamplers. Wire in the transforms and the interpolators.
ResampleFilterType::Pointer resizeFilter1 =
ResampleFilterType::New();
resizeFilter1->SetTransform(transform);
resizeFilter1->SetInterpolator(gaussianInterpolator);
ResampleFilterType::Pointer resizeFilter2 =
ResampleFilterType::New();
resizeFilter2->SetTransform(transform);
resizeFilter2->SetInterpolator(nearestNeighborInterpolator);
// Compute and set the output size
//
// The computation must be so that the following holds:
//
// new width old x spacing
// ---------- = ---------------
// old width new x spacing
//
//
// new height old y spacing
// ------------ = ---------------
// old height new y spacing
//
// So either we specify new height and width and compute new spacings
// or we specify new spacing and compute new height and width
// and computations that follows need to be modified a little (as it is
// done at step 2 there:
// http://itk.org/Wiki/ITK/Examples/DICOM/ResampleDICOM)
//
// Fetch original image spacing.
const ImageType::SpacingType& inputSpacing =
reader->GetOutput()->GetSpacing();
double outputSpacing[2];
outputSpacing[0] = spacing;
outputSpacing[1] = spacing;
// Fetch original image size
const ImageType::RegionType& inputRegion =
reader->GetOutput()->GetLargestPossibleRegion();
const ImageType::SizeType& inputSize = inputRegion.GetSize();
unsigned int oldWidth = inputSize[0];
unsigned int oldHeight = inputSize[1];
unsigned int newWidth = (double) oldWidth * inputSpacing[0] / spacing;
unsigned int newHeight = (double) oldHeight * inputSpacing[1] / spacing;
// Set the output spacing as specified on the command line
resizeFilter1->SetOutputSpacing(outputSpacing);
resizeFilter2->SetOutputSpacing(outputSpacing);
// Set the computed size
itk::Size<2> outputSize = { {newWidth, newHeight} };
resizeFilter1->SetSize(outputSize);
resizeFilter2->SetSize(outputSize);
// Specify the input for the resamplers
resizeFilter1->SetInput(reader->GetOutput());
resizeFilter2->SetInput(reader->GetOutput());
// Display the images
ColormapFilterType::Pointer colormapFilter1 =
ColormapFilterType::New();
ColormapType::Pointer colormap
= ColormapType::New();
CreateRandomColormap(4096, colormap);
colormapFilter1->SetInput (reader->GetOutput());
colormapFilter1->SetColormap(colormap);
ColormapFilterType::Pointer colormapFilter2 =
ColormapFilterType::New();
colormapFilter2->SetInput (resizeFilter1->GetOutput());
colormapFilter2->SetColormap(colormap);
ColormapFilterType::Pointer colormapFilter3 =
ColormapFilterType::New();
colormapFilter3->SetInput (resizeFilter2->GetOutput());
colormapFilter3->SetColormap(colormap);
QuickView viewer;
std::stringstream desc;
desc << itksys::SystemTools::GetFilenameName(argv[1]) << ": " << oldWidth << ", " << oldHeight;
viewer.AddRGBImage(
colormapFilter1->GetOutput(),
true,
desc.str());
std::stringstream desc2;
desc2 << "Gaussian Interpolation: " << newWidth << ", " << newHeight;
viewer.AddRGBImage(
colormapFilter2->GetOutput(),
true,
desc2.str());
std::stringstream desc3;
desc3 << "Nearest Neighbor Interpolation: " << newWidth << ", " << newHeight;
viewer.AddRGBImage(
colormapFilter3->GetOutput(),
true,
desc3.str());
viewer.Visualize();
return EXIT_SUCCESS;
}
void CreateRandomColormap(unsigned int size, ColormapType::Pointer colormap)
{
#define LOW .3
ColormapType::ChannelType redChannel;
ColormapType::ChannelType greenChannel;
ColormapType::ChannelType blueChannel;
random->SetSeed ( 8775070 );
redChannel.push_back(LOW);
greenChannel.push_back(LOW);
blueChannel.push_back(LOW);
for (unsigned int i = 1; i < size; ++i)
{
redChannel.push_back(static_cast<ColormapType::RealType>
(random->GetUniformVariate(LOW, 1.0)));
greenChannel.push_back(static_cast<ColormapType::RealType>
(random->GetUniformVariate(LOW, 1.0)));
blueChannel.push_back(static_cast<ColormapType::RealType>
(random->GetUniformVariate(LOW, 1.0)));
}
colormap->SetRedChannel(redChannel);
colormap->SetGreenChannel(greenChannel);
colormap->SetBlueChannel(blueChannel);
}