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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: ChangeInformationImageFilter.cxx,v $
Language: C++
Date: $Date: 2010-01-15 15:19:32 $
Version: $Revision: 1.5 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
#ifdef __BORLANDC__
#define ITK_LEAN_AND_MEAN
#endif
// Software Guide : BeginLatex
//
// The \doxygen{ChangeInformationImageFilter} is commonly used to modify
// image metadata such as origin, spacing, and orientation. This filter
// leaves intact the pixel data of the image. This filter should be used
// with extreme caution, since it can easily change information that is
// critical for the safety of many medical image analysis tasks, such as
// measurement the volume of a tumor, or providing guidance for surgery.
//
// The following example illustrates the use of the ChangeInformation image
// filter in the context of generating synthetic inputs for image registration
// tests.
//
// \index{itk::ChangeInformationImageFilter}
//
// Software Guide : EndLatex
#include "itkOrientedImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkVersor.h"
// Software Guide : BeginLatex
//
// The header file corresponding to this filter should be included first.
//
// \index{itk::ChangeInformationImageFilter!header}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include "itkChangeInformationImageFilter.h"
// Software Guide : EndCodeSnippet
int main( int argc, char * argv[] )
{
if( argc < 3 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << " inputImageFile outputImageFile" << std::endl;
std::cerr << " [scalingFactor] [translationX translationY translationZ]" << std::endl;
std::cerr << " [rotationZinDegrees]" << std::endl;
return EXIT_FAILURE;
}
// Software Guide : BeginLatex
//
// Then the pixel and image types of the input and output must be defined.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef unsigned char PixelType;
const unsigned int Dimension = 3;
typedef itk::OrientedImage< PixelType, Dimension > ImageType;
// Software Guide : EndCodeSnippet
typedef itk::ImageFileReader< ImageType > ReaderType;
typedef itk::ImageFileWriter< ImageType > WriterType;
ReaderType::Pointer reader = ReaderType::New();
WriterType::Pointer writer = WriterType::New();
reader->SetFileName( argv[1] );
writer->SetFileName( argv[2] );
// Software Guide : BeginLatex
//
// Using the image types, it is now possible to define the filter type
// and create the filter object.
//
// \index{itk::ChangeInformationImageFilter!instantiation}
// \index{itk::ChangeInformationImageFilter!New()}
// \index{itk::ChangeInformationImageFilter!Pointer}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
typedef itk::ChangeInformationImageFilter< ImageType > FilterType;
FilterType::Pointer filter = FilterType::New();
// Software Guide : EndCodeSnippet
//
// The reader must be triggered in order to make possible to gather
// information from the input image.
//
try
{
reader->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
ImageType::ConstPointer inputImage = reader->GetOutput();
ImageType::PointType origin = inputImage->GetOrigin();
ImageType::SpacingType spacing = inputImage->GetSpacing();
ImageType::DirectionType direction = inputImage->GetDirection();
if( argc > 3 )
{
double scale = atof( argv[3] );
for(unsigned int i=0; i<Dimension; i++)
{
spacing[i] *= scale;
}
filter->SetOutputSpacing( spacing );
filter->ChangeSpacingOn();
}
if( argc > 6 )
{
ImageType::PointType::VectorType translation;
translation[0] = atof ( argv[4] );
translation[1] = atof ( argv[5] );
translation[2] = atof ( argv[6] );
origin += translation;
filter->SetOutputOrigin( origin );
filter->ChangeOriginOn();
}
if( argc > 7 )
{
double additionalAngle = atof( argv[7] );
itk::Versor< double > rotation;
double angleInRadians = additionalAngle * vnl_math::pi / 180.0;
rotation.SetRotationAroundZ( angleInRadians );
ImageType::DirectionType newDirection = direction * rotation.GetMatrix();
filter->SetOutputDirection( newDirection );
filter->ChangeDirectionOn();
}
// Software Guide : BeginLatex
//
// The input to the filter can be taken from any other filter, for example
// a reader. The output can be passed down the pipeline to other filters,
// for example, a writer. An update call on any downstream filter will
// trigger the execution of the median filter.
//
// \index{itk::ChangeInformationImageFilter!SetInput()}
// \index{itk::ChangeInformationImageFilter!GetOutput()}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
filter->SetInput( reader->GetOutput() );
writer->SetInput( filter->GetOutput() );
// Software Guide : EndCodeSnippet
try
{
writer->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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