ITK/Examples/ImageProcessing/LaplacianImageFilter: Difference between revisions

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Concept checking error: input image type must be double or float (probably should smooth before this anyway, so do this type conversion in the smoothing filter?
==LaplacianImageFilter.cxx==
==LaplacianImageFilter.cxx==
<source lang="cpp">
<source lang="cpp">
Line 9: Line 7:
#include "itkLaplacianImageFilter.h"
#include "itkLaplacianImageFilter.h"


#include <itkImageToVTKImageFilter.h>
#include "QuickView.h"
 
#include "vtkImageViewer.h"
#include "vtkRenderWindowInteractor.h"
#include "vtkSmartPointer.h"
#include "vtkImageActor.h"
#include "vtkInteractorStyleImage.h"
#include "vtkRenderer.h"


int main(int argc, char * argv[])
int main(int argc, char * argv[])
Line 23: Line 14:
   if( argc < 2 )
   if( argc < 2 )
     {
     {
  std::cerr << "Usage: " << std::endl;
      std::cerr << "Usage: " << std::endl;
  std::cerr << argv[0] << "inputImageFile" << std::endl;
      std::cerr << argv[0] << "inputImageFile" << std::endl;
  return EXIT_FAILURE;
      return EXIT_FAILURE;
     }
     }


Line 33: Line 24:
   // Setup types
   // Setup types
   typedef itk::Image< float,  2 >  FloatImageType;
   typedef itk::Image< float,  2 >  FloatImageType;
  typedef itk::Image< unsigned char, 2 >  UnsignedCharImageType;


   typedef itk::ImageFileReader< UnsignedCharImageType >  readerType;
   typedef itk::ImageFileReader< FloatImageType >  readerType;
 
  typedef itk::LaplacianImageFilter<
  UnsignedCharImageType, FloatImageType >  filterType;
 
  // Create and setup a reader
   readerType::Pointer reader = readerType::New();
   readerType::Pointer reader = readerType::New();
   reader->SetFileName( inputFilename.c_str() );
   reader->SetFileName( inputFilename.c_str() );
  reader->Update();


   // Create and setup a derivative filter
   typedef itk::LaplacianImageFilter<FloatImageType, FloatImageType >  filterType;
   filterType::Pointer laplacianFilter = filterType::New();
   filterType::Pointer laplacianFilter = filterType::New();
   //laplacianFilter->SetInput( reader->GetOutput() ); // input image type must be double or float (probably should smooth before this anyway, so do this type conversion in the smoothing filter?)
   laplacianFilter->SetInput( reader->GetOutput() ); // NOTE: input image type must be double or float
   laplacianFilter->Update();
   laplacianFilter->Update();


#if 0
   QuickView viewer;
   // To visualize the derivative, we must rescale the values
   viewer.AddImage<FloatImageType>(reader->GetOutput());
   // to a reasonable range
   viewer.AddImage<FloatImageType>(laplacianFilter->GetOutput());
  typedef itk::RescaleIntensityImageFilter<
   viewer.Visualize();
  FloatImageType, UnsignedCharImageType > rescaleFilterType;
 
  rescaleFilterType::Pointer rescaler = rescaleFilterType::New();
  rescaler->SetOutputMinimum(0);
  rescaler->SetOutputMaximum(255);
  rescaler->SetInput( laplacianFilter->GetOutput() );
  rescaler->Update();
 
  typedef itk::ImageToVTKImageFilter<UnsignedCharImageType> ConnectorType;
  ConnectorType::Pointer originalConnector = ConnectorType::New();
  originalConnector->SetInput(reader->GetOutput());
 
   vtkSmartPointer<vtkImageActor> originalActor =
    vtkSmartPointer<vtkImageActor>::New();
  originalActor->SetInput(originalConnector->GetOutput());
 
  typedef itk::ImageToVTKImageFilter<UnsignedCharImageType> ConnectorType;
  ConnectorType::Pointer laplacianConnector = ConnectorType::New();
  laplacianConnector->SetInput(rescaler->GetOutput());
 
  vtkSmartPointer<vtkImageActor> laplacianActor =
    vtkSmartPointer<vtkImageActor>::New();
  laplacianActor->SetInput(laplacianConnector->GetOutput());
 
  // Define viewport ranges
  // (xmin, ymin, xmax, ymax)
  double leftViewport[4] = {0.0, 0.0, 0.5, 1.0};
   double rightViewport[4] = {0.5, 0.0, 1.0, 1.0};
 
  // Setup both renderers
  vtkSmartPointer<vtkRenderWindow> renderWindow =
    vtkSmartPointer<vtkRenderWindow>::New();
  renderWindow->SetSize(600,300);
 
  vtkSmartPointer<vtkRenderer> leftRenderer =
    vtkSmartPointer<vtkRenderer>::New();
  renderWindow->AddRenderer(leftRenderer);
  leftRenderer->SetViewport(leftViewport);
 
  vtkSmartPointer<vtkRenderer> rightRenderer =
    vtkSmartPointer<vtkRenderer>::New();
  renderWindow->AddRenderer(rightRenderer);
  rightRenderer->SetViewport(rightViewport);
 
  leftRenderer->AddActor(originalActor);
  rightRenderer->AddActor(laplacianActor);
 
  vtkSmartPointer<vtkRenderWindowInteractor> renderWindowInteractor =
    vtkSmartPointer<vtkRenderWindowInteractor>::New();
  vtkSmartPointer<vtkInteractorStyleImage> style =
    vtkSmartPointer<vtkInteractorStyleImage>::New();
 
  renderWindowInteractor->SetInteractorStyle(style);
 
  renderWindowInteractor->SetRenderWindow(renderWindow);
  renderWindowInteractor->Initialize();


  renderWindowInteractor->Start();
#endif
   return EXIT_SUCCESS;
   return EXIT_SUCCESS;
}
}

Revision as of 12:30, 5 March 2011

LaplacianImageFilter.cxx

<source lang="cpp">

  1. include "itkImage.h"
  2. include "itkImageFileReader.h"
  3. include "itkImageFileWriter.h"
  4. include "itkRescaleIntensityImageFilter.h"
  5. include "itkLaplacianImageFilter.h"
  1. include "QuickView.h"

int main(int argc, char * argv[]) { 

 // Verify command line arguments
 if( argc < 2 )
   {
     std::cerr << "Usage: " << std::endl;
     std::cerr << argv[0] << "inputImageFile" << std::endl;
     return EXIT_FAILURE;
   }

 // Parse command line arguments
 std::string inputFilename = argv[1];

 // Setup types
 typedef itk::Image< float,  2 >   FloatImageType;

 typedef itk::ImageFileReader< FloatImageType >  readerType;
 readerType::Pointer reader = readerType::New();
 reader->SetFileName( inputFilename.c_str() );
 reader->Update();

 typedef itk::LaplacianImageFilter<FloatImageType, FloatImageType >  filterType;
 filterType::Pointer laplacianFilter = filterType::New();
 laplacianFilter->SetInput( reader->GetOutput() ); // NOTE: input image type must be double or float
 laplacianFilter->Update();

 QuickView viewer;
 viewer.AddImage<FloatImageType>(reader->GetOutput());
 viewer.AddImage<FloatImageType>(laplacianFilter->GetOutput());
 viewer.Visualize();

 return EXIT_SUCCESS;

} </source>

CMakeLists.txt

<syntaxhighlight lang="cmake"> cmake_minimum_required(VERSION 3.9.5)

project(LaplacianImageFilter)

find_package(ITK REQUIRED) include(${ITK_USE_FILE}) if (ITKVtkGlue_LOADED) 

 find_package(VTK REQUIRED)
 include(${VTK_USE_FILE})

else() 

 find_package(ItkVtkGlue REQUIRED)
 include(${ItkVtkGlue_USE_FILE})
 set(Glue ItkVtkGlue)

endif()

add_executable(LaplacianImageFilter MACOSX_BUNDLE LaplacianImageFilter.cxx) target_link_libraries(LaplacianImageFilter 

 ${Glue}  ${VTK_LIBRARIES} ${ITK_LIBRARIES})

</syntaxhighlight>

Download and Build LaplacianImageFilter

Click here to download LaplacianImageFilter. and its CMakeLists.txt file. Once the tarball LaplacianImageFilter.tar has been downloaded and extracted, 

cd LaplacianImageFilter/build
  • If ITK is installed:
cmake ..
  • If ITK is not installed but compiled on your system, you will need to specify the path to your ITK build:
cmake -DITK_DIR:PATH=/home/me/itk_build ..

Build the project, 

make

and run it: 

./LaplacianImageFilter

WINDOWS USERS PLEASE NOTE: Be sure to add the VTK and ITK bin directories to your path. This will resolve the VTK and ITK dll's at run time.

Building All of the Examples

Many of the examples in the ITK Wiki Examples Collection require VTK. You can build all of the the examples by following these instructions. If you are a new VTK user, you may want to try the Superbuild which will build a proper ITK and VTK.

ItkVtkGlue

ITK >= 4

For examples that use QuickView (which depends on VTK), you must have built ITK with Module_ITKVtkGlue=ON.

ITK < 4

Some of the ITK Examples require VTK to display the images. If you download the entire ITK Wiki Examples Collection, the ItkVtkGlue directory will be included and configured. If you wish to just build a few examples, then you will need to download ItkVtkGlue and build it. When you run cmake it will ask you to specify the location of the ItkVtkGlue binary directory.

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