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/*=========================================================================
Program: Visualization Toolkit
Module: vtkImageNormalize.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 "vtkImageNormalize.h"
#include "vtkImageData.h"
#include "vtkImageProgressIterator.h"
#include "vtkInformation.h"
#include "vtkInformationVector.h"
#include "vtkObjectFactory.h"
#include "vtkStreamingDemandDrivenPipeline.h"
#include <math.h>
vtkStandardNewMacro(vtkImageNormalize);
//----------------------------------------------------------------------------
vtkImageNormalize::vtkImageNormalize()
{
this->SetNumberOfInputPorts(1);
this->SetNumberOfOutputPorts(1);
}
//----------------------------------------------------------------------------
int vtkImageNormalize::RequestInformation (
vtkInformation * vtkNotUsed( request ),
vtkInformationVector ** vtkNotUsed( inputVector ),
vtkInformationVector * outputVector)
{
// get the info objects
vtkInformation* outInfo = outputVector->GetInformationObject(0);
vtkDataObject::SetPointDataActiveScalarInfo(outInfo, VTK_FLOAT, -1);
return 1;
}
//----------------------------------------------------------------------------
// This execute method handles boundaries.
// it handles boundaries. Pixels are just replicated to get values
// out of extent.
template <class T>
void vtkImageNormalizeExecute(vtkImageNormalize *self,
vtkImageData *inData,
vtkImageData *outData,
int outExt[6], int id, T *)
{
vtkImageIterator<T> inIt(inData, outExt);
vtkImageProgressIterator<float> outIt(outData, outExt, self, id);
int idxC, maxC;
float sum;
T *inVect;
// find the region to loop over
maxC = inData->GetNumberOfScalarComponents();
// Loop through output pixels
while (!outIt.IsAtEnd())
{
T* inSI = inIt.BeginSpan();
float *outSI = outIt.BeginSpan();
float *outSIEnd = outIt.EndSpan();
while (outSI != outSIEnd)
{
// save the start of the vector
inVect = inSI;
// compute the magnitude.
sum = 0.0;
for (idxC = 0; idxC < maxC; idxC++)
{
sum += static_cast<float>(*inSI) * static_cast<float>(*inSI);
inSI++;
}
if (sum > 0.0)
{
sum = 1.0 / sqrt(sum);
}
// now divide to normalize.
for (idxC = 0; idxC < maxC; idxC++)
{
*outSI = static_cast<float>(*inVect) * sum;
inVect++;
outSI++;
}
}
inIt.NextSpan();
outIt.NextSpan();
}
}
//----------------------------------------------------------------------------
// This method contains a switch statement that calls the correct
// templated function for the input data type. The output data
// must match input type. This method does handle boundary conditions.
void vtkImageNormalize::ThreadedExecute (vtkImageData *inData,
vtkImageData *outData,
int outExt[6], int id)
{
vtkDebugMacro(<< "Execute: inData = " << inData
<< ", outData = " << outData);
// this filter expects that input is the same type as output.
if (outData->GetScalarType() != VTK_FLOAT)
{
vtkErrorMacro(<< "Execute: output ScalarType, " << outData->GetScalarType()
<< ", must be float");
return;
}
switch (inData->GetScalarType())
{
vtkTemplateMacro(
vtkImageNormalizeExecute( this, inData,
outData, outExt, id,
static_cast<VTK_TT *>(0)));
default:
vtkErrorMacro(<< "Execute: Unknown ScalarType");
return;
}
}
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