
 Usage

vtkImageRFFT implements the reverse fast Fourier transform.
The input can have real or complex data in any components
and data types, but the output is always complex doubles
with real values in component0, and imaginary values in
component1. The filter is fastest for images that have power
of two sizes. The filter uses a butterfly fitlers for each
prime factor of the dimension. This makes images with prime
number dimensions (i.e. 17x17) much slower to compute. Multi
dimensional (i.e volumes) FFT's are decomposed so that each
axis executes in series. In most cases the RFFT will produce
an image whose imaginary values are all zero's. In this case
vtkImageExtractComponents can be used to remove this
imaginary components leaving only the real image.
To create an instance of class vtkImageRFFT, simply invoke
its constructor as follows

    obj = vtkImageRFFT



 Methods

The class vtkImageRFFT has several methods that can be used.
They are listed below. Note that the documentation is
translated automatically from the VTK sources, and may not
be completely intelligible. When in doubt, consult the VTK
website. In the methods listed below, obj is an instance of
the vtkImageRFFT class.

* string = obj.GetClassName ()
* int = obj.IsA (string name)
* vtkImageRFFT = obj.NewInstance ()
* vtkImageRFFT = obj.SafeDownCast (vtkObject o)
* int = obj.SplitExtent (int splitExt[6], int startExt[6],
  int num, int total) - For streaming and threads. Splits
  output update extent into num pieces. This method needs to
  be called num times. Results must not overlap for
  consistent starting extent. Subclass can override this
  method. This method returns the number of pieces resulting
  from a successful split. This can be from 1 to "total". If
  1 is returned, the extent cannot be split.


* FreeMat_Documentation
* Visualization_Toolkit_Imaging_Classes
* Generated on Thu Jul 25 2013 17:18:33 for FreeMat by
  doxygen_ 1.8.1.1

