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/*=========================================================================
Program: Visualization Toolkit
Module: vtkImageFourierCenter.cxx
Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
All rights reserved.
See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notice for more information.
=========================================================================*/
#include "vtkImageFourierCenter.h"
#include "vtkImageData.h"
#include "vtkInformation.h"
#include "vtkInformationVector.h"
#include "vtkObjectFactory.h"
#include "vtkStreamingDemandDrivenPipeline.h"
#include <math.h>
vtkStandardNewMacro(vtkImageFourierCenter);
//----------------------------------------------------------------------------
// Construct an instance of vtkImageFourierCenter fitler.
vtkImageFourierCenter::vtkImageFourierCenter()
{
}
//----------------------------------------------------------------------------
// This method tells the superclass which input extent is needed.
// This gets the whole input (even though it may not be needed).
int vtkImageFourierCenter::IterativeRequestUpdateExtent(
vtkInformation* input, vtkInformation* output)
{
int *outExt = output->Get(vtkStreamingDemandDrivenPipeline::UPDATE_EXTENT());
int *wExt = input->Get(vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT());
int inExt[6];
memcpy(inExt, outExt, 6 * sizeof(int));
inExt[this->Iteration*2] = wExt[this->Iteration*2];
inExt[this->Iteration*2 + 1] = wExt[this->Iteration*2 + 1];
input->Set(vtkStreamingDemandDrivenPipeline::UPDATE_EXTENT(),inExt,6);
return 1;
}
//----------------------------------------------------------------------------
// This method is passed input and output regions, and executes the fft
// algorithm to fill the output from the input.
void vtkImageFourierCenter::ThreadedRequestData(
vtkInformation* vtkNotUsed( request ),
vtkInformationVector** vtkNotUsed( inputVector ),
vtkInformationVector* outputVector,
vtkImageData ***inDataVec,
vtkImageData **outDataVec,
int outExt[6],
int threadId)
{
vtkImageData* inData = inDataVec[0][0];
vtkImageData* outData = outDataVec[0];
double *inPtr0, *inPtr1, *inPtr2;
double *outPtr0, *outPtr1, *outPtr2;
vtkIdType inInc0, inInc1, inInc2;
vtkIdType outInc0, outInc1, outInc2;
int *wholeExtent, wholeMin0, wholeMax0, mid0;
int inIdx0, outIdx0, idx1, idx2;
int min0, max0, min1, max1, min2, max2;
int numberOfComponents;
int inCoords[3];
unsigned long count = 0;
unsigned long target;
double startProgress;
startProgress = this->GetIteration()/
static_cast<double>(this->GetNumberOfIterations());
// this filter expects that the input be doubles.
if (inData->GetScalarType() != VTK_DOUBLE)
{
vtkErrorMacro(<< "Execute: Input must be be type double.");
return;
}
// this filter expects that the output be doubles.
if (outData->GetScalarType() != VTK_DOUBLE)
{
vtkErrorMacro(<< "Execute: Output must be be type double.");
return;
}
// this filter expects input to have 1 or two components
if (outData->GetNumberOfScalarComponents() != 1 &&
outData->GetNumberOfScalarComponents() != 2)
{
vtkErrorMacro(<< "Execute: Cannot handle more than 2 components");
return;
}
// Get stuff needed to loop through the pixel
numberOfComponents = outData->GetNumberOfScalarComponents();
outPtr0 = static_cast<double *>(outData->GetScalarPointerForExtent(outExt));
wholeExtent = outputVector->GetInformationObject(0)->Get(
vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT());
// permute to make the filtered axis come first
this->PermuteExtent(outExt, min0, max0, min1, max1, min2, max2);
this->PermuteIncrements(inData->GetIncrements(), inInc0, inInc1, inInc2);
this->PermuteIncrements(outData->GetIncrements(), outInc0, outInc1, outInc2);
// Determine the mid for the filtered axis
wholeMin0 = wholeExtent[this->Iteration * 2];
wholeMax0 = wholeExtent[this->Iteration * 2 + 1];
mid0 = (wholeMin0 + wholeMax0) / 2;
// initialize input coordinates
inCoords[0] = outExt[0];
inCoords[1] = outExt[2];
inCoords[2] = outExt[4];
target = static_cast<unsigned long>((max2-min2+1)*(max0-min0+1)
* this->GetNumberOfIterations() / 50.0);
target++;
// loop over the filtered axis first
for (outIdx0 = min0; outIdx0 <= max0; ++outIdx0)
{
// get the correct input pointer
inIdx0 = outIdx0 + mid0;
if (inIdx0 > wholeMax0)
{
inIdx0 -= (wholeMax0 - wholeMin0 + 1);
}
inCoords[this->Iteration] = inIdx0;
inPtr0 = static_cast<double *>(inData->GetScalarPointer(inCoords));
// loop over other axes
inPtr2 = inPtr0;
outPtr2 = outPtr0;
for (idx2 = min2; !this->AbortExecute && idx2 <= max2; ++idx2)
{
if (!threadId)
{
if (!(count%target))
{
this->UpdateProgress(count/(50.0*target) + startProgress);
}
count++;
}
inPtr1 = inPtr2;
outPtr1 = outPtr2;
for (idx1 = min1; idx1 <= max1; ++idx1)
{
// handle components (up to 2) explicitly
*outPtr1 = *inPtr1;
if (numberOfComponents == 2)
{
outPtr1[1] = inPtr1[1];
}
inPtr1 += inInc1;
outPtr1 += outInc1;
}
inPtr2 += inInc2;
outPtr2 += outInc2;
}
outPtr0 += outInc0;
}
}
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