Class HalfHermitianToRealInverseFFTImageFilter

java.lang.Object
org.itk.simple.ProcessObject
org.itk.simple.ImageFilter
org.itk.simple.HalfHermitianToRealInverseFFTImageFilter
public class HalfHermitianToRealInverseFFTImageFilter extends ImageFilter
Base class for specialized complex-to-real inverse Fast Fourier Transform . This is a base class for the "inverse" or "reverse" Discrete Fourier Transform . This is an abstract base class: the actual implementation is provided by the best child class available on the system when the object is created via the object factory system. The input to this filter is assumed to have the same format as the output of the RealToHalfHermitianForwardFFTImageFilter . That is, the input is assumed to consist of roughly half the full complex image resulting from a real-to-complex discrete Fourier transform. This half is expected to be the first half of the image in the X-dimension. Because this filter assumes that the input stores only about half of the non-redundant complex pixels, the output is larger in the X-dimension than it is in the input. To determine the actual size of the output image, this filter needs additional information in the form of a flag indicating whether the output image has an odd size in the X-dimension. Use SetActualXDimensionIsOdd() to set this flag. See: ForwardFFTImageFilter , HalfHermitianToRealInverseFFTImageFilter itk::simple::HalfHermitianToRealInverseFFT for the procedural interface itk::HalfHermitianToRealInverseFFTImageFilter for the Doxygen on the original ITK class. C++ includes: sitkHalfHermitianToRealInverseFFTImageFilter.h

  • Constructor Details

    • HalfHermitianToRealInverseFFTImageFilter

      protected HalfHermitianToRealInverseFFTImageFilter(long cPtr, boolean cMemoryOwn)

    • HalfHermitianToRealInverseFFTImageFilter

      public HalfHermitianToRealInverseFFTImageFilter()
      itk::simple::HalfHermitianToRealInverseFFTImageFilter::HalfHermitianToRealInverseFFTImageFilter() Default Constructor that takes no arguments and initializes default parameters

  • Method Details

    • getCPtr

      protected static long getCPtr(HalfHermitianToRealInverseFFTImageFilter obj)

    • swigRelease

      protected static long swigRelease(HalfHermitianToRealInverseFFTImageFilter obj)

    • finalize

      protected void finalize()
      Overrides:
      finalize in class ImageFilter

    • delete

      public void delete()
      virtual itk::simple::HalfHermitianToRealInverseFFTImageFilter::~HalfHermitianToRealInverseFFTImageFilter() Destructor
      Overrides:
      delete in class ImageFilter

    • setActualXDimensionIsOdd

      public void setActualXDimensionIsOdd(boolean ActualXDimensionIsOdd)
      Self& itk::simple::HalfHermitianToRealInverseFFTImageFilter::SetActualXDimensionIsOdd(bool ActualXDimensionIsOdd) Was the original truncated dimension size odd?

    • actualXDimensionIsOddOn

      public void actualXDimensionIsOddOn()
      Self& itk::simple::HalfHermitianToRealInverseFFTImageFilter::ActualXDimensionIsOddOn() Set the value of ActualXDimensionIsOdd to true or false respectfully.

    • actualXDimensionIsOddOff

      public void actualXDimensionIsOddOff()
      Self& itk::simple::HalfHermitianToRealInverseFFTImageFilter::ActualXDimensionIsOddOff()

    • getActualXDimensionIsOdd

      public boolean getActualXDimensionIsOdd()
      bool itk::simple::HalfHermitianToRealInverseFFTImageFilter::GetActualXDimensionIsOdd() const Was the original truncated dimension size odd?

    • getName

      public String getName()
      std::string itk::simple::HalfHermitianToRealInverseFFTImageFilter::GetName() const Name of this class
      Overrides:
      getName in class ProcessObject

    • toString

      public String toString()
      std::string itk::simple::HalfHermitianToRealInverseFFTImageFilter::ToString() const Print ourselves out
      Overrides:
      toString in class ProcessObject

    • execute

      public Image execute(Image image1)
      Image itk::simple::HalfHermitianToRealInverseFFTImageFilter::Execute(const Image &image1) Execute the filter on the input image