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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
/*=========================================================================
*
* Portions of this file are subject to the VTK Toolkit Version 3 copyright.
*
* Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
*
* For complete copyright, license and disclaimer of warranty information
* please refer to the NOTICE file at the top of the ITK source tree.
*
*=========================================================================*/
#include <iostream>
#include "itkInterpolateImagePointsFilter.h"
#include "itkStdStreamStateSave.h"
#include "itkGaussianImageSource.h"
#include "itkImageToImageFilter.h"
#include "itkMath.h"
#include "itkTestingMacros.h"
typedef double InputPixelType;
typedef double CoordValueType;
// Setup for 2D Images
enum { ImageDimension2D = 2 };
typedef itk::Image< InputPixelType, ImageDimension2D > ImageType2D;
typedef ImageType2D::Pointer ImageType2DPointer;
typedef ImageType2D::SizeType ImageType2DSizeType;
typedef itk::InterpolateImagePointsFilter<ImageType2D,ImageType2D,CoordValueType>
InterpolatorType2D;
typedef itk::Image< CoordValueType, ImageDimension2D > CoordImageType2D;
typedef CoordImageType2D::Pointer CoordImageType2DPointer;
typedef CoordImageType2D::SizeType CoordImage2DSizeType;
void set2DInterpolateImagePointsFilterData(ImageType2D::Pointer);
// Setup for 3D Images
enum { ImageDimension3D = 3 };
typedef itk::Image< InputPixelType, ImageDimension3D > ImageType3D;
typedef ImageType3D::Pointer ImageTypePtr3D;
typedef ImageType3D::SizeType SizeType3D;
typedef ImageType3D::IndexType IndexType3D;
typedef itk::InterpolateImagePointsFilter<ImageType3D,ImageType3D,CoordValueType>
InterpolatorType3D;
typedef itk::Image< CoordValueType, ImageDimension3D > CoordImageType3D;
typedef CoordImageType3D::Pointer CoordImageType3DPointer;
typedef CoordImageType3D::SizeType CoordSizeType3D;
typedef CoordImageType3D::IndexType CoordIndexType3D;
ImageTypePtr3D set3DData();
/** test2DInterpolateImagePointsFilter() Tests InterpolateImagePointsFilter for
* expected results at a handful of index locations.
*/
int test2DInterpolateImagePointsFilter()
{
int testStatus = EXIT_SUCCESS;
std::cout << "Testing 2D InterpolateImagePointsFilter at sample index locations.\n ";
// Initialize input image
ImageType2DPointer image = ImageType2D::New();
set2DInterpolateImagePointsFilterData(image);
// Using Index Coordinates so setting of origin and spacing should
// not change results.
double origin [] = { 5.5, 1.0 };
double spacing[] = { 5.1, 0.5 };
image->SetOrigin(origin);
image->SetSpacing(spacing);
// Initialize the sample data
const int NPOINTS2 = 4; // number of points
const double DEFAULTPIXELVALUE = 1.23; // Arbitrary value to test setting
double xcoord[NPOINTS2] = { 0.1, 3.4, 4.0, 2.0};
double ycoord[NPOINTS2] = { 0.2, 5.8, 6.0, 7.0};
double truth[NPOINTS2] = {151.650316034, 22.411473093, 36.2, DEFAULTPIXELVALUE};
// Place continuous index coordinates into an image data structure
CoordImageType2DPointer index1 = CoordImageType2D::New();
CoordImageType2DPointer index2 = CoordImageType2D::New();
CoordImage2DSizeType size = {{2,2}};
CoordImageType2D::RegionType region;
region.SetSize( size );
// x coordinates
index1->SetLargestPossibleRegion( region );
index1->SetBufferedRegion( region );
index1->Allocate();
// y coordinates
index2->SetLargestPossibleRegion( region );
index2->SetBufferedRegion( region );
index2->Allocate();
// Setup copy iterators
typedef itk::ImageRegionIterator<CoordImageType2D> InputIterator;
InputIterator inIter1( index1, region );
InputIterator inIter2( index2, region );
// copy coordinate values into image data types
unsigned int j = 0;
while( !inIter1.IsAtEnd() )
{
inIter1.Set(xcoord[j]);
inIter2.Set(ycoord[j]);
++inIter1;
++inIter2;
++j;
}
// Initialize InterpolateImagePointsFilter
InterpolatorType2D::Pointer resamp = InterpolatorType2D::New();
EXERCISE_BASIC_OBJECT_METHODS( resamp, InterpolateImagePointsFilter, ImageToImageFilter );
unsigned int splineOrder = 3;
resamp->GetInterpolator()->SetSplineOrder(splineOrder);
resamp->SetInputImage(image);
resamp->SetInterpolationCoordinate(index1, 0);
resamp->SetInterpolationCoordinate(index2, 1);
InterpolatorType2D::PixelType defaultPixelValue = DEFAULTPIXELVALUE;
resamp->SetDefaultPixelValue( defaultPixelValue );
TEST_SET_GET_VALUE( defaultPixelValue, resamp->GetDefaultPixelValue() );
resamp->Update();
resamp->Print(std::cout);
// Get results and compare for accuracy
ImageType2DPointer outputImage;
outputImage = resamp->GetOutput();
InputIterator outIter(outputImage,region);
int i = 0;
double epsilon = 1e-9;
while ( !outIter.IsAtEnd() )
{
double value = outIter.Get();
std::cout.width(10);
std::cout.precision( unsigned( itk::Math::abs( std::log10( epsilon ) ) ) );
std::cout << "Checking image value: " << value << std::endl;
if( !itk::Math::FloatAlmostEqual( value, truth[i], 10, epsilon ) )
{
std::cout << "*** Error: value should be " << truth[i] << std::endl;
testStatus = EXIT_FAILURE;
}
else
{
std::cout << "*** test2DInterpolateImagePointsFilter() Passed.\n" << std::endl;
}
++outIter;
++i;
}
std::cout << std::endl;
return testStatus;
}
int test3DInterpolateImagePointsFilter()
{
int testStatus = EXIT_SUCCESS;
std::cout << "Testing 3D InterpolateImagePointsFilter.\n ";
// Initialize input image
ImageTypePtr3D image = set3DData();
// Initialize InterpolateImagePointsFilter and set input image
InterpolatorType3D::Pointer resamp = InterpolatorType3D::New();
EXERCISE_BASIC_OBJECT_METHODS( resamp, InterpolateImagePointsFilter, ImageToImageFilter );
unsigned int splineOrder = 3;
resamp->GetInterpolator()->SetSplineOrder(splineOrder);
resamp->SetInputImage(image);
// Generate coordinates at original index locations
SizeType3D size = image->GetLargestPossibleRegion().GetSize();
CoordImageType3DPointer coord[ImageDimension3D]; // = CoordImageType2D::New();
CoordImageType3D::RegionType region;
region.SetSize(size);
for (int i = 0; i < ImageDimension3D; i++)
{
CoordImageType3DPointer temp = CoordImageType3D::New();
coord[i] = temp;
(coord[i])->SetLargestPossibleRegion( region );
(coord[i])->SetBufferedRegion( region );
(coord[i])->Allocate();
}
CoordIndexType3D index;
for (unsigned int i0 = 0; i0 < size[0]; i0++)
{
index[0] = i0;
for (unsigned int i1 = 0; i1 < size[1]; i1++)
{
index[1] = i1;
for (unsigned int i2 = 0; i2 < size[2]; i2++)
{
index[2] = i2;
(coord[0])->SetPixel(index, i0);
(coord[1])->SetPixel(index, i1);
(coord[2])->SetPixel(index, i2);
}
}
}
for (unsigned int i = 0; i < ImageDimension3D; i++)
{
resamp->SetInterpolationCoordinate(coord[i],i);
}
resamp->Update();
// Get results and compare for accuracy
ImageTypePtr3D outputImage;
outputImage = resamp->GetOutput();
// Calculate RMSE
// First set up iterators
typedef itk::ImageRegionIterator<ImageType3D> InputIterator;
typedef itk::ImageRegionIterator<CoordImageType3D> OutputIterator;
InputIterator inIter(image,region);
OutputIterator outIter(outputImage,region);
double rmse;
rmse = 0.0;
while ( !outIter.IsAtEnd() )
{
double temp = inIter.Get() - outIter.Get();
rmse += temp*temp;
++outIter;
++inIter;
}
rmse = std::sqrt( (rmse / size[0] / size[1] / size[2] ) );
// Write home and let mom & dad know how we're doing.
std::cout << "rmse of image is " << rmse << "\n ";
double epsilon = 1e-7;
std::cout.precision( unsigned( itk::Math::abs( std::log10( epsilon ) ) ) );
if ( !itk::Math::FloatAlmostEqual( rmse, (double)0 , 10, epsilon ) )
{
std::cout << "*** Error: rmse is larger than expected." << std::endl;
testStatus = EXIT_FAILURE;
}
else
{
std::cout << "*** test3DInterpolateImagePointsFilter() Passed.\n" << std::endl;
}
return testStatus;
}
int itkInterpolateImagePointsFilterTest( int, char * [] )
{
// Save the format stream variables for std::cout
// They will be restored when coutState goes out of scope
// scope.
itk::StdStreamStateSave coutState(std::cout);
int testStatus = EXIT_SUCCESS;
std::cout << "Testing InterpolateImagePointsFilter class:\n";
testStatus += test2DInterpolateImagePointsFilter();
testStatus += test3DInterpolateImagePointsFilter();
// Return results of test
if (testStatus != 0)
{
std::cout << "\n*** " << testStatus << " tests failed" << std::endl;
return EXIT_FAILURE;
}
else
{
std::cout << "\nAll tests successfully passed\n" << std::endl;
return EXIT_SUCCESS;
}
}
void set2DInterpolateImagePointsFilterData(ImageType2D::Pointer imgPtr)
{
ImageType2DSizeType size = {{7,7}};
double mydata[ 49 ] = {
154.5000, 82.4000, 30.9000, 0, -10.3000, 0, 30.9000 ,
117.0000, 62.4000, 23.4000, 0, -7.8000, 0, 23.4000 ,
18.0000, 9.6000, 3.6000, 0, -1.2000, 0, 3.6000 ,
-120.0000, -64.0000, -24.0000, 0, 8.0000, 0, -24.0000 ,
-274.5000, -146.4000, -54.9000, 0, 18.3000, 0, -54.9000 ,
-423.0000, -225.6000, -84.6000, 0, 28.2000, 0, -84.6000 ,
-543.0000, -289.6000, -108.6000, 0, 36.2000, 0, -108.6000 };
ImageType2D::RegionType region;
region.SetSize( size );
imgPtr->SetLargestPossibleRegion( region );
imgPtr->SetBufferedRegion( region );
imgPtr->Allocate();
typedef itk::ImageRegionIterator<ImageType2D> InputIterator;
InputIterator inIter( imgPtr, region );
int j = 0;
while( !inIter.IsAtEnd() )
{
inIter.Set(mydata[j]);
++inIter;
++j;
}
}
ImageTypePtr3D set3DData()
{
// Create a Gaussian image source
typedef itk::GaussianImageSource< ImageType3D > GaussianSourceType;
GaussianSourceType::Pointer pSource = GaussianSourceType::New();
ImageType3D::SpacingValueType spacing[] = { 1.2f, 1.3f, 1.4f };
ImageType3D::PointValueType origin[] = { 1.0f, 4.0f, 2.0f };
ImageType3D::SizeValueType size[] = { 65, 75, 60};
GaussianSourceType::ArrayType mean;
mean[0] = size[0]/2.0f + origin[0];
mean[1] = size[1]/2.0f + origin[1];
mean[2] = size[2]/2.0f + origin[2];
GaussianSourceType::ArrayType sigma;
sigma[0] = 12.5f;
sigma[1] = 17.5f;
sigma[2] = 27.5f;
pSource->SetSize( size );
pSource->SetOrigin( origin );
pSource->SetSpacing( spacing );
pSource->SetMean( mean );
pSource->SetSigma( sigma );
// Get the output of the source
ImageTypePtr3D pImage = pSource->GetOutput();
// Run the pipeline
pSource->Update();
return pImage;
}
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