[Insight-users] Cartesian to polar image filter
alex Dowson
alexdowson at hotmail.com
Thu Oct 20 05:26:28 EDT 2011
Hi
I am trying to do conversion of image from Cartesian to polar using itk::ResampleImageFilter but result is not proper.
I am doing polar and Cartesian vice versa conversion using code given at
http://www.insight-journal.org/browse/publication/130
But it does not producing perfect image as output. Any one can tell me what I am doing wrong ?
Here is code of my example.
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkResampleImageFilter.h"
#include "itkAffineTransform.h"
#include "itkNearestNeighborInterpolateImageFunction.h"
#include "itkCartesianToPolarTransform.h"
#include "itkPolarToCartesianTransform.h"
int main( int argc, char * argv[] )
{
if( argc < 3 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImageFile outputImageFile";
return EXIT_FAILURE;
}
const unsigned int Dimension = 2;
typedef unsigned char InputPixelType;
typedef unsigned char OutputPixelType;
typedef itk::Image< InputPixelType, Dimension > InputImageType;
typedef itk::Image< OutputPixelType, Dimension > OutputImageType;
typedef itk::ImageFileReader< InputImageType > ReaderType;
typedef itk::ImageFileWriter< OutputImageType > WriterType;
ReaderType::Pointer reader = ReaderType::New();
WriterType::Pointer writer = WriterType::New();
reader->SetFileName( argv[1] );
writer->SetFileName( argv[2] );
typedef itk::ResampleImageFilter<InputImageType,OutputImageType> FilterType;
FilterType::Pointer filter = FilterType::New();
typedef itk::CartesianToPolarTransform<double,Dimension> TransformType;
TransformType::Pointer transform = TransformType::New();
filter->SetTransform( transform );
typedef itk::NearestNeighborInterpolateImageFunction<
InputImageType, double > InterpolatorType;
InterpolatorType::Pointer interpolator = InterpolatorType::New();
filter->SetInterpolator( interpolator );
filter->SetDefaultPixelValue( 0 );
double spacing[ Dimension ];
spacing[0] = 1.0; // pixel spacing in millimeters along X
spacing[1] = 1.0; // pixel spacing in millimeters along Y
filter->SetOutputSpacing( spacing );
double origin[ Dimension ];
origin[0] = 0.0; // X space coordinate of origin
origin[1] = 0.0; // Y space coordinate of origin
filter->SetOutputOrigin( origin );
InputImageType::DirectionType direction;
direction.SetIdentity();
filter->SetOutputDirection( direction );
InputImageType::SizeType size;
size[0] = 512; // number of pixels along X
size[1] = 512; // number of pixels along Y
filter->SetSize( size );
filter->SetInput( reader->GetOutput() );
writer->SetInput( filter->GetOutput() );
writer->Update();
return EXIT_SUCCESS;
}
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