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/*=========================================================================
Program: Visualization Toolkit
Module: TestImageIterator.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.
=========================================================================*/
// .NAME Test FindCell methods for image data
// .SECTION Description
// This program tests the FindCell methods for vtkImageData to
// ensure that they give correct results near the boundaries and
// to ensure that tolerance is handled properly. Even when the
// tolerance is zero, points on the boundary must be considered
// to be inside the dataset.
#include "vtkDebugLeaks.h"
#include "vtkImageData.h"
#include "vtkSmartPointer.h"
inline int DoTest(
int extent[6], double origin[3], double spacing[3])
{
vtkSmartPointer<vtkImageData> image =
vtkSmartPointer<vtkImageData>::New();
image->SetExtent(extent);
image->SetOrigin(origin);
image->SetSpacing(spacing);
image->AllocateScalars(VTK_DOUBLE, 1);
double bounds[6];
image->GetBounds(bounds);
int subId = 0;
double pcoords[3];
double weights[8];
double x[3];
vtkIdType cellId;
double tol = 1e-4;
for (int i = 0; i < 3; i++)
{
x[0] = 0.5*(bounds[0] + bounds[1]);
x[1] = 0.5*(bounds[2] + bounds[3]);
x[2] = 0.5*(bounds[4] + bounds[5]);
for (int j = 0; j < 2; j++)
{
// test point right on the boundary with zero tolerance
x[i] = bounds[2*i+j];
cellId = image->FindCell(
x, 0, 0, 0.0, subId, pcoords, weights);
if (cellId < 0)
{
cerr << "point (" << x[0] << ", " << x[1] << ", " << x[2] << ")"
<< " should be in bounds (" << bounds[0] << ", " << bounds[1]
<< ", " << bounds[2] << ", " << bounds[3] << ", "
<< bounds[4] << ", " << bounds[5] << ") with tol 0.0\n";
return 1;
}
// test point just outside boundary with zero tolerance
double offset = ((j == 0) ? (-tol*0.5) : (tol*0.5));
x[i] = bounds[2*i+j] + offset;
cellId = image->FindCell(
x, 0, 0, 0.0, subId, pcoords, weights);
if (cellId >= 0)
{
cerr << "point (" << x[0] << ", " << x[1] << ", " << x[2] << ")"
<< " should be out of bounds (" << bounds[0] << ", " << bounds[1]
<< ", " << bounds[2] << ", " << bounds[3] << ", "
<< bounds[4] << ", " << bounds[5] << ") with tol 0.0\n";
return 1;
}
// test point just outside boundary with nonzero tolerance
x[i] = bounds[2*i+j] + ((j == 0) ? (-tol*0.5) : (tol*0.5));
cellId = image->FindCell(
x, 0, 0, tol*tol, subId, pcoords, weights);
if (cellId < 0)
{
cerr << "point (" << x[0] << ", " << x[1] << ", " << x[2] << ")"
<< " should be inside bounds (" << bounds[0] << ", " << bounds[1]
<< ", " << bounds[2] << ", " << bounds[3] << ", "
<< bounds[4] << ", " << bounds[5] << ") with tol " << tol << "\n";
return 1;
}
// check pcoords at boundaries
int isUpperBound = ((j == 1) ^ (spacing[i] < 0));
int isOnePixelThick = (extent[2*i] == extent[2*i+1]);
if (isUpperBound && !isOnePixelThick)
{
if (pcoords[i] != 1.0)
{
cerr << "at upper bounds, pcoord should be 1, but is "
<< pcoords[i] << "\n";
return 1;
}
}
else
{
if (pcoords[i] != 0.0)
{
cerr << "at lower bounds and for 0,1,2D cells, pcoord should be 0, "
<< "but is " << pcoords[i] << " " << extent[2*i] << ", " << extent[2*i+1] << ", " << j << "\n";
return 1;
}
}
// validate the cellId
x[i] = bounds[2*i+j];
double pcoords2[3];
int idx[3];
if (image->ComputeStructuredCoordinates(x, idx, pcoords2) == 0)
{
cerr << "ComputeStructuredCoordinates failed for "
<< "point (" << x[0] << ", " << x[1] << ", " << x[2] << ")"
<< " and bounds (" << bounds[0] << ", " << bounds[1]
<< ", " << bounds[2] << ", " << bounds[3] << ", "
<< bounds[4] << ", " << bounds[5] << ")\n";
return 1;
}
if (image->ComputeCellId(idx) != cellId)
{
cerr << "cellId = " << cellId << ", should be "
<< image->ComputeCellId(idx) << "\n";
return 1;
}
// validate the pcoords, allow a tolerance
double diff = (pcoords[i] - pcoords2[i]);
if (diff*diff > (1e-15)*(1e-15))
{
cerr << "pcoords[" << i << "] = " << pcoords[i] << ", should be "
<< pcoords2[i] << "\n";
return 1;
}
}
}
return 0;
}
int TestImageDataFindCell(int,char *[])
{
// test 0D, 1D, 2D, 3D data with various extents, spacings, origins
static int dims[4][3] = {
{ 1, 1, 1 }, { 3, 1, 1 }, { 3, 3, 1 }, { 3, 3, 3 } };
static int starts[4][3] = {
{ 0, 0, 0 }, { -1, 0, -1 }, { 2, 3, 6 }, { -10, 0, 5 } };
static double spacings[4][3] = {
{ 1, 1, 1 }, { 1.0/7, 1, 1 }, { 1, -1, 1 }, { -1, 1, -1/13.0 } };
static double origins[4][3] = {
{ 0, 0, 0 }, { 1.0/13, 0, 0 }, { 0, -1, 0 }, { -1, 0, -1/7.0 } };
int extent[6];
double *spacing;
double *origin;
int failed = 0;
for (int i = 0; i < 4; i++)
{
for (int j = 0; j < 4; j++)
{
for (int k = 0; k < 4; k++)
{
for (int l = 0; l < 4; l++)
{
for (int ii = 0; ii < 3; ii++)
{
extent[2*ii] = starts[i][ii];
extent[2*ii+1] = starts[i][ii] + dims[j][ii] - 1;
}
spacing = spacings[k];
origin = origins[l];
if (DoTest(extent, origin, spacing))
{
failed = 1;
}
}
}
}
}
return failed;
}
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