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vtkVoxelModeller.cxx
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vtkVoxelModeller.cxx
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/*=========================================================================
Program: Visualization Toolkit
Module: vtkVoxelModeller.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 "vtkVoxelModeller.h"
#include "vtkBitArray.h"
#include "vtkCell.h"
#include "vtkImageData.h"
#include "vtkInformation.h"
#include "vtkInformationVector.h"
#include "vtkObjectFactory.h"
#include "vtkStreamingDemandDrivenPipeline.h"
#include "vtkPointData.h"
#include <math.h>
vtkStandardNewMacro(vtkVoxelModeller);
// Construct an instance of vtkVoxelModeller with its sample dimensions
// set to (50,50,50), and so that the model bounds are
// automatically computed from its input. The maximum distance is set to
// examine the whole grid. This could be made much faster, and probably
// will be in the future.
vtkVoxelModeller::vtkVoxelModeller()
{
this->MaximumDistance = 1.0;
this->ModelBounds[0] = 0.0;
this->ModelBounds[1] = 0.0;
this->ModelBounds[2] = 0.0;
this->ModelBounds[3] = 0.0;
this->ModelBounds[4] = 0.0;
this->ModelBounds[5] = 0.0;
this->SampleDimensions[0] = 50;
this->SampleDimensions[1] = 50;
this->SampleDimensions[2] = 50;
this->ScalarType = VTK_BIT;
this->ForegroundValue = 1.0;
this->BackgroundValue = 0.0;
}
// Specify the position in space to perform the voxelization.
void vtkVoxelModeller::SetModelBounds(double bounds[6])
{
vtkVoxelModeller::SetModelBounds(bounds[0], bounds[1], bounds[2], bounds[3],
bounds[4], bounds[5]);
}
void vtkVoxelModeller::SetModelBounds(double xmin, double xmax, double ymin,
double ymax, double zmin, double zmax)
{
if (this->ModelBounds[0] != xmin || this->ModelBounds[1] != xmax ||
this->ModelBounds[2] != ymin || this->ModelBounds[3] != ymax ||
this->ModelBounds[4] != zmin || this->ModelBounds[5] != zmax )
{
this->Modified();
this->ModelBounds[0] = xmin;
this->ModelBounds[1] = xmax;
this->ModelBounds[2] = ymin;
this->ModelBounds[3] = ymax;
this->ModelBounds[4] = zmin;
this->ModelBounds[5] = zmax;
}
}
int vtkVoxelModeller::RequestInformation (
vtkInformation * vtkNotUsed(request),
vtkInformationVector ** vtkNotUsed( inputVector ),
vtkInformationVector *outputVector)
{
// get the info objects
vtkInformation* outInfo = outputVector->GetInformationObject(0);
int i;
double ar[3], origin[3];
outInfo->Set(vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT(),
0, this->SampleDimensions[0]-1,
0, this->SampleDimensions[1]-1,
0, this->SampleDimensions[2]-1);
for (i=0; i < 3; i++)
{
origin[i] = this->ModelBounds[2*i];
if ( this->SampleDimensions[i] <= 1 )
{
ar[i] = 1;
}
else
{
ar[i] = (this->ModelBounds[2*i+1] - this->ModelBounds[2*i])
/ (this->SampleDimensions[i] - 1);
}
}
outInfo->Set(vtkDataObject::ORIGIN(),origin,3);
outInfo->Set(vtkDataObject::SPACING(),ar,3);
vtkDataObject::SetPointDataActiveScalarInfo(outInfo, this->ScalarType, 1);
return 1;
}
int vtkVoxelModeller::RequestData(
vtkInformation* vtkNotUsed( request ),
vtkInformationVector** inputVector,
vtkInformationVector* outputVector)
{
// get the input
vtkInformation* inInfo = inputVector[0]->GetInformationObject(0);
vtkDataSet *input = vtkDataSet::SafeDownCast(
inInfo->Get(vtkDataObject::DATA_OBJECT()));
// get the output
vtkInformation *outInfo = outputVector->GetInformationObject(0);
vtkImageData *output = vtkImageData::SafeDownCast(
outInfo->Get(vtkDataObject::DATA_OBJECT()));
// We need to allocate our own scalars since we are overriding
// the superclasses "Execute()" method.
output->SetExtent(output->GetWholeExtent());
output->AllocateScalars();
vtkIdType cellNum, i;
int j, k;
double *bounds, adjBounds[6];
vtkCell *cell;
double maxDistance, pcoords[3];
vtkIdType numPts, idx, numCells;
int subId;
int min[3], max[3];
double x[3], distance2;
int jkFactor;
double *weights=new double[input->GetMaxCellSize()];
double closestPoint[3];
double voxelHalfWidth[3], origin[3], spacing[3];
vtkDataArray *newScalars = output->GetPointData()->GetScalars();
//
// Initialize self; create output objects
//
vtkDebugMacro(<< "Executing Voxel model");
numPts = this->SampleDimensions[0] * this->SampleDimensions[1] *
this->SampleDimensions[2];
for (i=0; i<numPts; i++)
{
newScalars->SetComponent(i,0,this->BackgroundValue);
}
maxDistance = this->ComputeModelBounds(origin,spacing);
outInfo->Set(vtkDataObject::SPACING(),spacing,3);
outInfo->Set(vtkDataObject::ORIGIN(),origin,3);
//
// Voxel widths are 1/2 the height, width, length of a voxel
//
for (i=0; i < 3; i++)
{
voxelHalfWidth[i] = spacing[i] / 2.0;
}
//
// Traverse all cells; computing distance function on volume points.
//
numCells = input->GetNumberOfCells();
for (cellNum=0; cellNum < numCells; cellNum++)
{
cell = input->GetCell(cellNum);
bounds = cell->GetBounds();
for (i=0; i<3; i++)
{
adjBounds[2*i] = bounds[2*i] - maxDistance;
adjBounds[2*i+1] = bounds[2*i+1] + maxDistance;
}
// compute dimensional bounds in data set
for (i=0; i<3; i++)
{
min[i] = static_cast<int>(
static_cast<double>(adjBounds[2*i] - origin[i]) / spacing[i]);
max[i] = static_cast<int>(
static_cast<double>(adjBounds[2*i+1] - origin[i]) / spacing[i]);
if (min[i] < 0)
{
min[i] = 0;
}
if (max[i] >= this->SampleDimensions[i])
{
max[i] = this->SampleDimensions[i] - 1;
}
}
jkFactor = this->SampleDimensions[0]*this->SampleDimensions[1];
for (k = min[2]; k <= max[2]; k++)
{
x[2] = spacing[2] * k + origin[2];
for (j = min[1]; j <= max[1]; j++)
{
x[1] = spacing[1] * j + origin[1];
for (i = min[0]; i <= max[0]; i++)
{
idx = jkFactor*k + this->SampleDimensions[0]*j + i;
if (!(newScalars->GetComponent(idx,0)))
{
x[0] = spacing[0] * i + origin[0];
if ( cell->EvaluatePosition(x, closestPoint, subId, pcoords,
distance2, weights) != -1 &&
((fabs(closestPoint[0] - x[0]) <= voxelHalfWidth[0]) &&
(fabs(closestPoint[1] - x[1]) <= voxelHalfWidth[1]) &&
(fabs(closestPoint[2] - x[2]) <= voxelHalfWidth[2])) )
{
newScalars->SetComponent(idx,0,this->ForegroundValue);
}
}
}
}
}
}
delete [] weights;
return 1;
}
// Compute the ModelBounds based on the input geometry.
double vtkVoxelModeller::ComputeModelBounds(double origin[3],
double spacing[3])
{
double *bounds, maxDist;
int i, adjustBounds=0;
// compute model bounds if not set previously
if ( this->ModelBounds[0] >= this->ModelBounds[1] ||
this->ModelBounds[2] >= this->ModelBounds[3] ||
this->ModelBounds[4] >= this->ModelBounds[5] )
{
adjustBounds = 1;
vtkDataSet *ds = vtkDataSet::SafeDownCast(this->GetInput());
// ds better be non null otherwise something is very wrong here
bounds = ds->GetBounds();
}
else
{
bounds = this->ModelBounds;
}
for (maxDist=0.0, i=0; i<3; i++)
{
if ( (bounds[2*i+1] - bounds[2*i]) > maxDist )
{
maxDist = bounds[2*i+1] - bounds[2*i];
}
}
maxDist *= this->MaximumDistance;
// adjust bounds so model fits strictly inside (only if not set previously)
if ( adjustBounds )
{
for (i=0; i<3; i++)
{
this->ModelBounds[2*i] = bounds[2*i] - maxDist;
this->ModelBounds[2*i+1] = bounds[2*i+1] + maxDist;
}
}
// Set volume origin and data spacing
for (i=0; i<3; i++)
{
origin[i] = this->ModelBounds[2*i];
spacing[i] = (this->ModelBounds[2*i+1] - this->ModelBounds[2*i])/
(this->SampleDimensions[i] - 1);
}
return maxDist;
}
// Set the i-j-k dimensions on which to sample the distance function.
void vtkVoxelModeller::SetSampleDimensions(int i, int j, int k)
{
int dim[3];
dim[0] = i;
dim[1] = j;
dim[2] = k;
this->SetSampleDimensions(dim);
}
void vtkVoxelModeller::SetSampleDimensions(int dim[3])
{
int dataDim, i;
vtkDebugMacro(<< " setting SampleDimensions to (" << dim[0] << "," << dim[1]
<< "," << dim[2] << ")");
if ( dim[0] != this->SampleDimensions[0] ||
dim[1] != this->SampleDimensions[1] ||
dim[2] != this->SampleDimensions[2] )
{
if ( dim[0]<1 || dim[1]<1 || dim[2]<1 )
{
vtkErrorMacro (<< "Bad Sample Dimensions, retaining previous values");
return;
}
for (dataDim=0, i=0; i<3 ; i++)
{
if (dim[i] > 1)
{
dataDim++;
}
}
if ( dataDim < 3 )
{
vtkErrorMacro(<<"Sample dimensions must define a volume!");
return;
}
for ( i=0; i<3; i++)
{
this->SampleDimensions[i] = dim[i];
}
this->Modified();
}
}
int vtkVoxelModeller::FillInputPortInformation(
int vtkNotUsed(port), vtkInformation* info)
{
info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkDataSet");
return 1;
}
void vtkVoxelModeller::PrintSelf(ostream& os, vtkIndent indent)
{
this->Superclass::PrintSelf(os,indent);
os << indent << "Maximum Distance: " << this->MaximumDistance << "\n";
os << indent << "Sample Dimensions: (" << this->SampleDimensions[0] << ", "
<< this->SampleDimensions[1] << ", "
<< this->SampleDimensions[2] << ")\n";
os << indent << "Model Bounds: \n";
os << indent << " Xmin,Xmax: (" << this->ModelBounds[0] << ", "
<< this->ModelBounds[1] << ")\n";
os << indent << " Ymin,Ymax: (" << this->ModelBounds[2] << ", "
<< this->ModelBounds[3] << ")\n";
os << indent << " Zmin,Zmax: (" << this->ModelBounds[4] << ", "
<< this->ModelBounds[5] << ")\n";
os << indent << "ScalarType: " << this->ScalarType << endl;
os << indent << "ForegroundValue: " << this->ForegroundValue << endl;
os << indent << "BackgroundValue: " << this->BackgroundValue << endl;
}