ITK  6.0.0
Insight Toolkit
Examples/Filtering/SpatialObjectToImage3.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{PolygonSpatialObject} for generating a binary image through the
// \doxygen{SpatialObjectToImageFilter}.
//
// \index{itk::PolygonSpatialObject|textbf}
// \index{itk::SpatialObjectToImageFilter|textbf}
//
// We start by including the header of the PolygonSpatialObject that we will
// use as elementary shape, and the header for the SpatialObjectToImageFilter
// that we will use to rasterize the SpatialObject.
//
// \index{itk::PolygonSpatialObject!header}
// \index{itk::SpatialObjectToImageFilter!header}
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
int
main(int argc, char * argv[])
{
if (argc != 2)
{
std::cerr << "Usage: " << argv[0] << " outputimagefile " << std::endl;
return EXIT_FAILURE;
}
// Software Guide : BeginLatex
//
// We declare the pixel type and dimension of the image to be produced as
// output.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using PixelType = unsigned char;
constexpr unsigned int Dimension = 3;
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Using the same dimension, we instantiate the types of the elementary
// SpatialObjects that we plan to rasterize.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We instantiate the SpatialObjectToImageFilter type by using as template
// arguments the input SpatialObject and the output image types.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using SpatialObjectToImageFilterType =
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// The SpatialObjectToImageFilter requires that the user defines the grid
// parameters of the output image. This includes the number of pixels along
// each dimension, the pixel spacing, image direction and
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
size[0] = 100;
size[1] = 100;
size[2] = 1;
imageFilter->SetSize(size);
// Software Guide : EndCodeSnippet
// Software Guide : BeginCodeSnippet
ImageType::SpacingType spacing;
spacing[0] = 100.0 / size[0];
spacing[1] = 100.0 / size[1];
spacing[2] = 1.0;
imageFilter->SetSpacing(spacing);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We create the polygon object.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
auto polygon = PolygonType::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We populate the points of the polygon by computing the edges of a
// hexagon centered in the image.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
constexpr unsigned int numberOfPoints = 6;
radial[0] = 0.0;
radial[1] = 0.0;
radial[2] = 0.0;
typename PolygonType::PointType center;
center[0] = 50.0;
center[1] = 50.0;
center[2] = 0.0;
constexpr double radius = 40.0;
typename PolygonType::PolygonPointType polygonPoint;
for (unsigned int i = 0; i < numberOfPoints; ++i)
{
const double angle = 2.0 * itk::Math::pi * i / numberOfPoints;
radial[0] = radius * std::cos(angle);
radial[1] = radius * std::sin(angle);
point = center + radial;
polygonPoint.SetPositionInObjectSpace(point);
polygon->GetPoints().push_back(polygonPoint);
}
polygon->SetIsClosed(true);
polygon->Update();
// Software Guide : EndCodeSnippet
std::cout << "Polygon Perimeter = "
<< polygon->MeasurePerimeterInObjectSpace() << std::endl;
std::cout << "Polygon Area = " << polygon->MeasureAreaInObjectSpace()
<< std::endl;
// Software Guide : BeginLatex
//
// We connect the polygon as the input to the SpatialObjectToImageFilter.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
imageFilter->SetInput(polygon);
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// Finally we are ready to run the filter. We use the typical invocation of
// the \code{Update} method, and we instantiate an \code{ImageFileWriter}
// in order to save the generated image into a file.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[1]);
writer->SetInput(imageFilter->GetOutput());
try
{
imageFilter->Update();
writer->Update();
}
catch (const itk::ExceptionObject & excp)
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
// Software Guide : EndCodeSnippet
return EXIT_SUCCESS;
}
itkPolygonSpatialObject.h
itk::GTest::TypedefsAndConstructors::Dimension2::VectorType
ImageBaseType::SpacingType VectorType
Definition: itkGTestTypedefsAndConstructors.h:53
itk::GTest::TypedefsAndConstructors::Dimension2::PointType
ImageBaseType::PointType PointType
Definition: itkGTestTypedefsAndConstructors.h:51
itk::GTest::TypedefsAndConstructors::Dimension2::SizeType
ImageBaseType::SizeType SizeType
Definition: itkGTestTypedefsAndConstructors.h:49
itk::PolygonSpatialObject
TODO.
Definition: itkPolygonSpatialObject.h:32
itk::SpatialObjectToImageFilter
Base class for filters that take a SpatialObject as input and produce an image as output....
Definition: itkSpatialObjectToImageFilter.h:41
itk::ImageFileWriter
Writes image data to a single file.
Definition: itkImageFileWriter.h:90
itk::point
*par Constraints *The filter requires an image with at least two dimensions and a vector *length of at least The theory supports extension to scalar but *the implementation of the itk vector classes do not **The template parameter TRealType must be floating point(float or double) or *a user-defined "real" numerical type with arithmetic operations defined *sufficient to compute derivatives. **\par Performance *This filter will automatically multithread if run with *SetUsePrincipleComponents
itkSpatialObjectToImageFilter.h
itkImageFileWriter.h
itk::ExceptionObject
Standard exception handling object.
Definition: itkExceptionObject.h:50
itk::Size::SetSize
void SetSize(const SizeValueType val[VDimension])
Definition: itkSize.h:180
itk::Image
Templated n-dimensional image class.
Definition: itkImage.h:88
New
static Pointer New()
itk::Math::pi
static constexpr double pi
Definition: itkMath.h:66
itk::GTest::TypedefsAndConstructors::Dimension2::Dimension
constexpr unsigned int Dimension
Definition: itkGTestTypedefsAndConstructors.h:44