How to use

setImaginary

method

in

net.imglib2.type.numeric.ComplexType

@Override
public C compute(T input1, V input2, C output) {
    output.setReal(input1.getRealDouble());
    output.setImaginary(input2.getRealDouble());
    return output;
}

@Override
public O compute(I z, O output) {
  output.setReal(z.getRealDouble());
  output.setImaginary(z.getImaginaryDouble());
  return output;
}

@Override
public C compute(T input1, V input2, C output) {
    output.setReal(input1.getRealDouble());
    output.setImaginary(input2.getRealDouble());
    return output;
}

@Override
public O compute(I z, O output) {
  output.setReal(z.getRealDouble());
  output.setImaginary(z.getImaginaryDouble());
  return output;
}

@Override
public void compute(long[] point, O output)
{
  accessor.setPosition(point);
  output.setReal(accessor.get().getRealDouble());
  output.setImaginary(accessor.get().getImaginaryDouble());
}

@Override
public void compute(long[] point, O output)
{
  accessor.setPosition(point);
  output.setReal(accessor.get().getRealDouble());
  output.setImaginary(accessor.get().getImaginaryDouble());
}

cursor.get().setImaginary( GaussExp * Math.sin(freqPart) );

  /**
   * Conditionally assigns pixels in the output region.
   */
  public void assign() {
    final RandomAccess<U> accessor = img.randomAccess();
    final V output = function.createOutput();
    INPUT input = null;
    while (iter.hasNext()) {
      input = iter.next(input);
      boolean proceed = (condition == null) || (condition.isTrue(input));
      if (proceed) {
        function.compute(input, output);
        accessor.setPosition(iter.getCurrentPoint());
        accessor.get().setReal(output.getRealDouble());
        accessor.get().setImaginary(output.getImaginaryDouble());
        // FIXME
        // Note - for real datasets this imaginary assignment may waste cpu
        // cycles. Perhaps it can get optimized away by the JIT. But maybe not
        // since the type is not really known because this class is really
        // constructed from a raw type. We'd need to test how the JIT handles
        // this situation. Note that in past incarnations this class used
        // assigner classes. The complex version set R & I but the real
        // version just set R. We could adopt that approach once again.
      }
    }
  }
}

  /**
   * Conditionally assigns pixels in the output region.
   */
  public void assign() {
    final RandomAccess<U> accessor = img.randomAccess();
    final V output = function.createOutput();
    INPUT input = null;
    while (iter.hasNext()) {
      input = iter.next(input);
      boolean proceed = (condition == null) || (condition.isTrue(input));
      if (proceed) {
        function.compute(input, output);
        accessor.setPosition(iter.getCurrentPoint());
        accessor.get().setReal(output.getRealDouble());
        accessor.get().setImaginary(output.getImaginaryDouble());
        // FIXME
        // Note - for real datasets this imaginary assignment may waste cpu
        // cycles. Perhaps it can get optimized away by the JIT. But maybe not
        // since the type is not really known because this class is really
        // constructed from a raw type. We'd need to test how the JIT handles
        // this situation. Note that in past incarnations this class used
        // assigner classes. The complex version set R & I but the real
        // version just set R. We could adopt that approach once again.
      }
    }
  }
}

output.setImaginary(sumI);