ITK  6.0.0
Insight Toolkit
Examples/Filtering/ResampleImageFilter5.cxx
/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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.
*
*=========================================================================*/
// Software Guide : BeginLatex
//
// This example illustrates the use of the \doxygen{Similarity2DTransform}. A
// similarity transform involves rotation, translation and scaling. Since the
// parameterization of rotations is difficult to get in a generic $ND$ case,
// a particular implementation is available for $2D$.
//
//
// Software Guide : EndLatex
#include "itkImage.h"
// Software Guide : BeginLatex
//
// The header file of the transform is included below.
//
// \index{itk::Similarity2DTransform!header}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
int
main(int argc, char * argv[])
{
if (argc < 5)
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0]
<< " inputImageFile outputImageFile degrees scale"
<< std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 2;
using InputPixelType = unsigned char;
using OutputPixelType = unsigned char;
using InputImageType = itk::Image<InputPixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
auto reader = ReaderType::New();
auto writer = WriterType::New();
reader->SetFileName(argv[1]);
writer->SetFileName(argv[2]);
const double angleInDegrees = std::stod(argv[3]);
const double scale = std::stod(argv[4]);
using FilterType =
auto filter = FilterType::New();
// Software Guide : BeginLatex
//
// The transform type is instantiated using the coordinate representation
// type as the single template parameter.
//
// \index{itk::Similarity2DTransform!instantiation}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using TransformType = itk::Similarity2DTransform<double>;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// A transform object is constructed by calling \code{New()} and passing
// the result to a \doxygen{SmartPointer}.
//
// \index{itk::Similarity2DTransform!New()}
// \index{itk::Similarity2DTransform!Pointer}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
auto transform = TransformType::New();
// Software Guide : EndCodeSnippet
using InterpolatorType =
auto interpolator = InterpolatorType::New();
filter->SetInterpolator(interpolator);
filter->SetDefaultPixelValue(100);
// Software Guide : BeginLatex
//
// The parameters of the output image are taken from the input image.
//
// Software Guide : EndLatex
reader->Update();
const InputImageType::SpacingType & spacing =
reader->GetOutput()->GetSpacing();
const InputImageType::PointType & origin = reader->GetOutput()->GetOrigin();
const InputImageType::DirectionType & direction =
reader->GetOutput()->GetDirection();
reader->GetOutput()->GetLargestPossibleRegion().GetSize();
filter->SetOutputOrigin(origin);
filter->SetOutputSpacing(spacing);
filter->SetOutputDirection(direction);
filter->SetSize(size);
filter->SetInput(reader->GetOutput());
writer->SetInput(filter->GetOutput());
// Software Guide : BeginLatex
//
// The Similarity2DTransform allows the user to select the
// center of rotation. This center is used for both rotation and scaling
// operations.
//
// \index{itk::Similarity2DTransform!SetRotationCenter()}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
TransformType::InputPointType rotationCenter;
rotationCenter[0] = origin[0] + spacing[0] * size[0] / 2.0;
rotationCenter[1] = origin[1] + spacing[1] * size[1] / 2.0;
transform->SetCenter(rotationCenter);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The rotation is specified with the method \code{SetAngle()}.
//
// \index{itk::Similarity2DTransform!SetAngle()}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
const double degreesToRadians = std::atan(1.0) / 45.0;
const double angle = angleInDegrees * degreesToRadians;
transform->SetAngle(angle);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The scale change is defined using the method \code{SetScale()}.
// \index{itk::Similarity2DTransform!SetScale()}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
transform->SetScale(scale);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// A translation to be applied after the rotation and scaling can be
// specified with the method \code{SetTranslation()}.
//
// \index{itk::AffineTransform!Translate()}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
TransformType::OutputVectorType translation;
translation[0] = 13.0;
translation[1] = 17.0;
transform->SetTranslation(translation);
filter->SetTransform(transform);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Note that the order in which rotation, scaling and translation are
// defined is irrelevant in this transform. This is not the case in the
// Affine transform which is very generic and allows different combinations
// for initialization. In the Similarity2DTransform class the
// rotation and scaling will always be applied before the translation.
//
// \index{itk::Similarity2DTransform!SetScale()}
//
// Software Guide : EndLatex
try
{
writer->Update();
}
catch (const itk::ExceptionObject & excep)
{
std::cerr << "Exception caught !" << std::endl;
std::cerr << excep << std::endl;
}
// Software Guide : BeginLatex
//
// \begin{figure}
// \center
// \includegraphics[width=0.44\textwidth]{BrainProtonDensitySliceBorder20}
// \includegraphics[width=0.44\textwidth]{ResampleImageFilterOutput11}
// \itkcaption[Effect of the Resample filter rotating and scaling an
// image]{Effect of the resample filter rotating and scaling an image.}
// \label{fig:ResampleImageFilterOutput11}
// \end{figure}
//
// Figure \ref{fig:ResampleImageFilterOutput11} shows the effect of this
// rotation, translation and scaling on a slice of a brain MRI. The scale
// applied for producing this figure was $1.2$ and the rotation angle was
// $10^{\circ}$.
//
// Software Guide : EndLatex
return EXIT_SUCCESS;
}
itkSimilarity2DTransform.h
itk::GTest::TypedefsAndConstructors::Dimension2::DirectionType
ImageBaseType::DirectionType DirectionType
Definition: itkGTestTypedefsAndConstructors.h:52
itk::GTest::TypedefsAndConstructors::Dimension2::PointType
ImageBaseType::PointType PointType
Definition: itkGTestTypedefsAndConstructors.h:51
itkImageFileReader.h
itk::GTest::TypedefsAndConstructors::Dimension2::SizeType
ImageBaseType::SizeType SizeType
Definition: itkGTestTypedefsAndConstructors.h:49
itkImage.h
itk::ImageFileReader
Data source that reads image data from a single file.
Definition: itkImageFileReader.h:75
itk::LinearInterpolateImageFunction
Linearly interpolate an image at specified positions.
Definition: itkLinearInterpolateImageFunction.h:51
itk::ImageFileWriter
Writes image data to a single file.
Definition: itkImageFileWriter.h:90
itk::Similarity2DTransform
Similarity2DTransform of a vector space (e.g. space coordinates)
Definition: itkSimilarity2DTransform.h:62
itkImageFileWriter.h
itk::ResampleImageFilter
Resample an image via a coordinate transform.
Definition: itkResampleImageFilter.h:90
itk::Image
Templated n-dimensional image class.
Definition: itkImage.h:88
New
static Pointer New()
itkResampleImageFilter.h
itk::GTest::TypedefsAndConstructors::Dimension2::Dimension
constexpr unsigned int Dimension
Definition: itkGTestTypedefsAndConstructors.h:44
itk::Size::GetSize
const SizeValueType * GetSize() const
Definition: itkSize.h:169