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vtkImageCorrelation.cxx
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vtkImageCorrelation.cxx
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/*=========================================================================
Program: Visualization Toolkit
Module: vtkImageCorrelation.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 "vtkImageCorrelation.h"
#include "vtkImageData.h"
#include "vtkInformation.h"
#include "vtkInformationVector.h"
#include "vtkObjectFactory.h"
#include "vtkStreamingDemandDrivenPipeline.h"
vtkStandardNewMacro(vtkImageCorrelation);
//----------------------------------------------------------------------------
vtkImageCorrelation::vtkImageCorrelation()
{
this->Dimensionality = 2;
this->SetNumberOfInputPorts(2);
}
//----------------------------------------------------------------------------
// Grow the output image
int vtkImageCorrelation::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;
}
//----------------------------------------------------------------------------
// Grow
int vtkImageCorrelation::RequestUpdateExtent (
vtkInformation * vtkNotUsed(request),
vtkInformationVector **inputVector,
vtkInformationVector *outputVector)
{
// get the info objects
vtkInformation* outInfo = outputVector->GetInformationObject(0);
vtkInformation* inInfo1 = inputVector[0]->GetInformationObject(0);
vtkInformation* inInfo2 = inputVector[1]->GetInformationObject(0);
// get the whole image for input 2
int inWExt2[6];
inInfo2->Get(vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT(),inWExt2);
inInfo2->Set(vtkStreamingDemandDrivenPipeline::UPDATE_EXTENT(),
inWExt2, 6);
int inWExt1[6];
inInfo1->Get(vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT(),inWExt1);
// try to get all the data required to handle the boundaries
// but limit to the whole extent
int idx;
int inUExt1[6];
outInfo->Get(vtkStreamingDemandDrivenPipeline::UPDATE_EXTENT(),inUExt1);
for (idx = 0; idx < 3; idx++)
{
inUExt1[idx*2+1] = inUExt1[idx*2+1] +
(inWExt2[idx*2+1] - inWExt2[idx*2]);
// clip to whole extent
if (inUExt1[idx*2+1] > inWExt1[idx*2+1])
{
inUExt1[idx*2+1] = inWExt1[idx*2+1];
}
}
inInfo1->Set(vtkStreamingDemandDrivenPipeline::UPDATE_EXTENT(),
inUExt1, 6);
return 1;
}
//----------------------------------------------------------------------------
// This templated function executes the filter for any type of data.
// Handles the two input operations
template <class T>
void vtkImageCorrelationExecute(vtkImageCorrelation *self,
vtkImageData *in1Data, T *in1Ptr,
vtkImageData *in2Data, T *in2Ptr,
vtkImageData *outData, float *outPtr,
int outExt[6], int id,
int in2Extent[6])
{
int idxC, idxX, idxY, idxZ;
int maxC, maxX, maxY, maxZ;
vtkIdType in1IncX, in1IncY, in1IncZ;
vtkIdType in1CIncX, in1CIncY, in1CIncZ;
vtkIdType in2IncX, in2IncY, in2IncZ;
vtkIdType outIncX, outIncY, outIncZ;
unsigned long count = 0;
unsigned long target;
T *in2Ptr2, *in1Ptr2;
int kIdxX, kIdxY, kIdxZ;
int xKernMax, yKernMax, zKernMax;
int maxIX, maxIY, maxIZ;
int *wExtent;
// find the region to loop over
maxC = in1Data->GetNumberOfScalarComponents();
maxX = outExt[1] - outExt[0];
maxY = outExt[3] - outExt[2];
maxZ = outExt[5] - outExt[4];
target = static_cast<unsigned long>((maxZ+1)*(maxY+1)/50.0);
target++;
// Get increments to march through data
in1Data->GetContinuousIncrements(outExt, in1CIncX, in1CIncY, in1CIncZ);
in1Data->GetIncrements(in1IncX, in1IncY, in1IncZ);
in2Data->GetIncrements(in2IncX, in2IncY, in2IncZ);
outData->GetContinuousIncrements(outExt, outIncX, outIncY, outIncZ);
// how far can we gon with input data
// this may be farther that the outExt because of
// subpieces etc.
wExtent = in1Data->GetExtent();
maxIZ = wExtent[5] - outExt[4];
maxIY = wExtent[3] - outExt[2];
maxIX = wExtent[1] - outExt[0];
// Loop through output pixels
for (idxZ = 0; idxZ <= maxZ; idxZ++)
{
// how much of kernel to use
zKernMax = maxIZ - idxZ;
if (zKernMax > in2Extent[5])
{
zKernMax = in2Extent[5];
}
for (idxY = 0; !self->AbortExecute && idxY <= maxY; idxY++)
{
if (!id)
{
if (!(count%target))
{
self->UpdateProgress(count/(50.0*target));
}
count++;
}
yKernMax = maxIY - idxY;
if (yKernMax > in2Extent[3])
{
yKernMax = in2Extent[3];
}
for (idxX = 0; idxX <= maxX; idxX++)
{
// determine the extent of input 1 that contributes to this pixel
*outPtr = 0.0;
xKernMax = maxIX - idxX;
if (xKernMax > in2Extent[1])
{
xKernMax = in2Extent[1];
}
// sumation
for (kIdxZ = 0; kIdxZ <= zKernMax; kIdxZ++)
{
for (kIdxY = 0; kIdxY <= yKernMax; kIdxY++)
{
in1Ptr2 = in1Ptr + kIdxY*in1IncY + kIdxZ*in1IncZ;
in2Ptr2 = in2Ptr + kIdxY*in2IncY + kIdxZ*in2IncZ;
for (kIdxX = 0; kIdxX <= xKernMax; kIdxX++)
{
for (idxC = 0; idxC < maxC; idxC++)
{
*outPtr = *outPtr +
static_cast<float>((*in1Ptr2) * (*in2Ptr2));
in1Ptr2++;
in2Ptr2++;
}
}
}
}
in1Ptr += maxC;
outPtr++;
}
in1Ptr += in1CIncY;
outPtr += outIncY;
}
in1Ptr += in1CIncZ;
outPtr += outIncZ;
}
}
//----------------------------------------------------------------------------
// This method is passed a input and output datas, and executes the filter
// algorithm to fill the output from the inputs.
// It just executes a switch statement to call the correct function for
// the datas data types.
void vtkImageCorrelation::ThreadedRequestData(
vtkInformation * vtkNotUsed( request ),
vtkInformationVector ** inputVector ,
vtkInformationVector * vtkNotUsed( outputVector ),
vtkImageData ***inData,
vtkImageData **outData,
int outExt[6], int id)
{
int *in2Extent;
void *in1Ptr;
void *in2Ptr;
float *outPtr;
in2Extent = inputVector[1]->GetInformationObject(0)->Get(
vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT());
in1Ptr = inData[0][0]->GetScalarPointerForExtent(outExt);
in2Ptr = inData[1][0]->GetScalarPointerForExtent(in2Extent);
outPtr = static_cast<float *>(outData[0]->GetScalarPointerForExtent(outExt));
// this filter expects that input is the same type as output.
if (inData[0][0]->GetScalarType() != inData[1][0]->GetScalarType())
{
vtkErrorMacro(<< "Execute: input ScalarType, " <<
inData[0][0]->GetScalarType() << " and input2 ScalarType " <<
inData[1][0]->GetScalarType() << ", should match");
return;
}
// input depths must match
if (inData[0][0]->GetNumberOfScalarComponents() !=
inData[1][0]->GetNumberOfScalarComponents())
{
vtkErrorMacro(<< "Execute: input depths must match");
return;
}
switch (inData[0][0]->GetScalarType())
{
vtkTemplateMacro(
vtkImageCorrelationExecute(this, inData[0][0],
static_cast<VTK_TT *>(in1Ptr),
inData[1][0],
static_cast<VTK_TT *>(in2Ptr),
outData[0], outPtr, outExt, id,
in2Extent));
default:
vtkErrorMacro(<< "Execute: Unknown ScalarType");
return;
}
}
void vtkImageCorrelation::PrintSelf(ostream& os, vtkIndent indent)
{
this->Superclass::PrintSelf(os,indent);
os << indent << "Dimensionality: " << this->Dimensionality << "\n";
}