ITK/Examples/SpectralAnalysis/VnlFFTRealToComplexConjugateImageFilter: Difference between revisions
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<source lang="cpp"> | <source lang="cpp"> | ||
#include "itkImage.h" | #include "itkImage.h" | ||
#include "itkVnlFFTRealToComplexConjugateImageFilter.h" | #include "itkVnlFFTRealToComplexConjugateImageFilter.h" | ||
#include "itkComplexToRealImageFilter.h" | #include "itkComplexToRealImageFilter.h" | ||
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// Define some types | // Define some types | ||
typedef itk::Image<float, 2> FloatImageType; | typedef itk::Image<float, 2> FloatImageType; | ||
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// Compute the smallest power of two that is bigger than the image | // Compute the smallest power of two that is bigger than the image | ||
unsigned int powerOfTwo = 0; | unsigned int powerOfTwo = 0; | ||
for(unsigned int i = 0; i < | for(unsigned int i = 0; i < 20; i++) | ||
{ | { | ||
if(pow(2, i) > reader->GetOutput()->GetLargestPossibleRegion().GetSize()[0] && | if(pow(2, i) >= reader->GetOutput()->GetLargestPossibleRegion().GetSize()[0] && | ||
pow(2, i) > reader->GetOutput()->GetLargestPossibleRegion().GetSize()[1]) | pow(2, i) >= reader->GetOutput()->GetLargestPossibleRegion().GetSize()[1]) | ||
{ | { | ||
powerOfTwo = i; | powerOfTwo = i; | ||
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} | } | ||
// Create an image bigger than the input image and that has dimensions which are powers of two | // Create an image bigger than the input image and that has | ||
// dimensions which are powers of two | |||
itk::Index<2> start; | itk::Index<2> start; | ||
start.Fill(0); | start.Fill(0); | ||
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itk::ImageRegion<2> region(start, size); | itk::ImageRegion<2> region(start, size); | ||
FloatImageType::Pointer image = FloatImageType::New(); | FloatImageType::Pointer image = FloatImageType::New(); | ||
image->SetRegions(region); | image->SetRegions(region); | ||
image->Allocate(); | image->Allocate(); | ||
image->FillBuffer(0); | |||
// The image dimensions must be powers of two | // The image dimensions must be powers of two | ||
typedef itk::PasteImageFilter <FloatImageType, FloatImageType > | typedef itk::PasteImageFilter <FloatImageType, FloatImageType > | ||
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// Compute the FFT | // Compute the FFT | ||
typedef itk::VnlFFTRealToComplexConjugateImageFilter<FloatImageType::PixelType, 2> FFTType; | typedef itk::VnlFFTRealToComplexConjugateImageFilter<FloatImageType::PixelType, 2> FFTType; | ||
FFTType::Pointer fftFilter = FFTType::New(); | FFTType::Pointer fftFilter = FFTType::New(); | ||
fftFilter->SetInput(image); | fftFilter->SetInput(image); | ||
// Extract the real part | // Extract the real part | ||
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RealFilterType::Pointer realFilter = RealFilterType::New(); | RealFilterType::Pointer realFilter = RealFilterType::New(); | ||
realFilter->SetInput(fftFilter->GetOutput()); | realFilter->SetInput(fftFilter->GetOutput()); | ||
// Extract the complex part | |||
// Extract the | |||
typedef itk::ComplexToImaginaryImageFilter<FFTType::OutputImageType, FloatImageType> ImaginaryFilterType; | typedef itk::ComplexToImaginaryImageFilter<FFTType::OutputImageType, FloatImageType> ImaginaryFilterType; | ||
ImaginaryFilterType::Pointer imaginaryFilter = ImaginaryFilterType::New(); | ImaginaryFilterType::Pointer imaginaryFilter = ImaginaryFilterType::New(); | ||
imaginaryFilter->SetInput(fftFilter->GetOutput()); | imaginaryFilter->SetInput(fftFilter->GetOutput()); | ||
// Compute the magnitude | // Compute the magnitude | ||
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ModulusFilterType::Pointer modulusFilter = ModulusFilterType::New(); | ModulusFilterType::Pointer modulusFilter = ModulusFilterType::New(); | ||
modulusFilter->SetInput(fftFilter->GetOutput()); | modulusFilter->SetInput(fftFilter->GetOutput()); | ||
QuickView viewer; | QuickView viewer; | ||
viewer.AddImage(image.GetPointer()); | viewer.AddImage(image.GetPointer(), true, | ||
viewer.AddImage( | itksys::SystemTools::GetFilenameName(argv[1])); | ||
viewer.AddImage( | viewer.AddImage(realFilter->GetOutput(), true, | ||
viewer.AddImage( | "Real"); | ||
viewer.AddImage(imaginaryFilter->GetOutput(), true, | |||
"Imaginary"); | |||
viewer.AddImage(modulusFilter->GetOutput(), true, | |||
"Magnitude"); | |||
viewer.Visualize(); | viewer.Visualize(); | ||
Revision as of 06:40, 8 March 2011
VnlFFTRealToComplexConjugateImageFilter.cxx
<source lang="cpp">
- include "itkImage.h"
- include "itkVnlFFTRealToComplexConjugateImageFilter.h"
- include "itkComplexToRealImageFilter.h"
- include "itkComplexToImaginaryImageFilter.h"
- include "itkComplexToModulusImageFilter.h"
- include "itkImageFileReader.h"
- include "itkCastImageFilter.h"
- include "itkPasteImageFilter.h"
- include <itksys/SystemTools.hxx>
- include "vnl/vnl_sample.h"
- include <math.h>
- include <itkImageToVTKImageFilter.h>
- include "QuickView.h"
int main(int argc, char*argv[]) {
// Verify input if(argc < 2) { std::cerr << "Required: filename" << std::endl; return EXIT_FAILURE; }
// Define some types typedef itk::Image<float, 2> FloatImageType;
// Read the image typedef itk::ImageFileReader<FloatImageType> ReaderType; ReaderType::Pointer reader = ReaderType::New(); reader->SetFileName(argv[1]); reader->Update();
// Compute the smallest power of two that is bigger than the image unsigned int powerOfTwo = 0; for(unsigned int i = 0; i < 20; i++) { if(pow(2, i) >= reader->GetOutput()->GetLargestPossibleRegion().GetSize()[0] && pow(2, i) >= reader->GetOutput()->GetLargestPossibleRegion().GetSize()[1]) { powerOfTwo = i; break; } }
// Create an image bigger than the input image and that has // dimensions which are powers of two itk::Index<2> start; start.Fill(0);
itk::Size<2> size; size.Fill(pow(2,powerOfTwo));
itk::ImageRegion<2> region(start, size);
FloatImageType::Pointer image = FloatImageType::New(); image->SetRegions(region); image->Allocate(); image->FillBuffer(0);
// The image dimensions must be powers of two typedef itk::PasteImageFilter <FloatImageType, FloatImageType > PasteImageFilterType; itk::Index<2> destinationIndex; destinationIndex.Fill(0); PasteImageFilterType::Pointer pasteFilter = PasteImageFilterType::New (); pasteFilter->SetSourceImage(reader->GetOutput()); pasteFilter->SetDestinationImage(image); pasteFilter->SetSourceRegion(reader->GetOutput()->GetLargestPossibleRegion()); pasteFilter->SetDestinationIndex(destinationIndex); pasteFilter->Update(); image->Graft(pasteFilter->GetOutput()); // Compute the FFT typedef itk::VnlFFTRealToComplexConjugateImageFilter<FloatImageType::PixelType, 2> FFTType; FFTType::Pointer fftFilter = FFTType::New(); fftFilter->SetInput(image); // Extract the real part typedef itk::ComplexToRealImageFilter<FFTType::OutputImageType, FloatImageType> RealFilterType; RealFilterType::Pointer realFilter = RealFilterType::New(); realFilter->SetInput(fftFilter->GetOutput());
// Extract the complex part typedef itk::ComplexToImaginaryImageFilter<FFTType::OutputImageType, FloatImageType> ImaginaryFilterType; ImaginaryFilterType::Pointer imaginaryFilter = ImaginaryFilterType::New(); imaginaryFilter->SetInput(fftFilter->GetOutput());
// Compute the magnitude typedef itk::ComplexToModulusImageFilter<FFTType::OutputImageType, FloatImageType> ModulusFilterType; ModulusFilterType::Pointer modulusFilter = ModulusFilterType::New(); modulusFilter->SetInput(fftFilter->GetOutput());
QuickView viewer; viewer.AddImage(image.GetPointer(), true, itksys::SystemTools::GetFilenameName(argv[1])); viewer.AddImage(realFilter->GetOutput(), true, "Real"); viewer.AddImage(imaginaryFilter->GetOutput(), true, "Imaginary"); viewer.AddImage(modulusFilter->GetOutput(), true, "Magnitude"); viewer.Visualize();
return EXIT_SUCCESS;
} </source>
CMakeLists.txt
<syntaxhighlight lang="cmake"> cmake_minimum_required(VERSION 3.9.5)
project(VnlFFTRealToComplexConjugateImageFilter)
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(VnlFFTRealToComplexConjugateImageFilter MACOSX_BUNDLE VnlFFTRealToComplexConjugateImageFilter.cxx) target_link_libraries(VnlFFTRealToComplexConjugateImageFilter
${Glue} ${VTK_LIBRARIES} ${ITK_LIBRARIES})
</syntaxhighlight>
Download and Build VnlFFTRealToComplexConjugateImageFilter
Click here to download VnlFFTRealToComplexConjugateImageFilter. and its CMakeLists.txt file. Once the tarball VnlFFTRealToComplexConjugateImageFilter.tar has been downloaded and extracted,
cd VnlFFTRealToComplexConjugateImageFilter/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:
./VnlFFTRealToComplexConjugateImageFilter
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.