ITK  4.13.0
Insight Segmentation and Registration Toolkit
SphinxExamples/src/Core/Transform/ApplyAffineTransformFromHomogeneousMatrixAndResample/Code.cxx
/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
int main( int argc, char* argv[] )
{
if( argc != 4 )
{
std::cerr << "Usage: "<< std::endl;
std::cerr << argv[0];
std::cerr << " <InputFileName> <OutputFileName> <DefaultPixelValue>";
std::cerr << std::endl;
return EXIT_FAILURE;
}
const unsigned int Dimension = 2;
typedef double ScalarType;
const char * inputFileName = argv[1];
const char * outputFileName = argv[2];
const ScalarType defaultValue = static_cast< ScalarType >( atof( argv[3] ) );
MatrixType matrix;
matrix[0][0] = std::cos( 0.05 );
matrix[0][1] = std::sin( 0.05 );
matrix[0][2] = 0.;
matrix[1][0] = - matrix[0][1];
matrix[1][1] = matrix[0][0];
matrix[1][2] = 0.;
matrix[2][0] = -10.;
matrix[2][1] = -20.;
matrix[2][2] = 1.;
typedef unsigned char PixelType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( inputFileName );
reader->Update();
ImageType::ConstPointer input = reader->GetOutput();
const ImageType::SizeType& size = input->GetLargestPossibleRegion().GetSize();
typedef itk::ResampleImageFilter< ImageType, ImageType > ResampleImageFilterType;
ResampleImageFilterType::Pointer resample = ResampleImageFilterType::New();
resample->SetInput( input );
resample->SetReferenceImage( input );
resample->UseReferenceImageOn();
resample->SetSize( size );
resample->SetDefaultPixelValue( defaultValue );
const unsigned int Radius = 3;
InterpolatorType::Pointer interpolator = InterpolatorType::New();
resample->SetInterpolator( interpolator );
TransformType::Pointer transform = TransformType::New();
// get transform parameters from MatrixType
TransformType::ParametersType parameters( Dimension * Dimension + Dimension );
for( unsigned int i = 0; i < Dimension; i++ )
{
for( unsigned int j = 0; j < Dimension; j++ )
{
parameters[ i * Dimension + j ] = matrix[ i ][ j ];
}
}
for( unsigned int i = 0; i < Dimension; i++ )
{
parameters[ i + Dimension * Dimension ] = matrix[ i ][ Dimension ];
}
transform->SetParameters( parameters );
resample->SetTransform( transform );
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( outputFileName );
writer->SetInput( resample->GetOutput() );
try
{
writer->Update();
}
catch( itk::ExceptionObject & error )
{
std::cerr << "Error: " << error << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}