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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.
*
*=========================================================================*/
#include <iostream>
#include "itkDisplacementFieldJacobianDeterminantFilter.h"
#include "itkNullImageToImageFilterDriver.hxx"
#include "itkStdStreamStateSave.h"
static bool TestDisplacementJacobianDeterminantValue(void)
{
bool testPassed = true;
const unsigned int ImageDimension = 2;
typedef itk::Vector<float,ImageDimension> VectorType;
typedef itk::Image<VectorType,ImageDimension> FieldType;
// In this case, the image to be warped is also a vector field.
typedef FieldType VectorImageType;
//=============================================================
std::cout << "Create the dispacementfield image pattern." << std::endl;
VectorImageType::RegionType region;
//NOTE: Making the image size much larger than necessary in order to get
// some meaningful time measurements. Simulate a 256x256x256 image.
VectorImageType::SizeType size = {{4096, 4096}};
region.SetSize( size );
VectorImageType::Pointer dispacementfield = VectorImageType::New();
dispacementfield->SetLargestPossibleRegion( region );
dispacementfield->SetBufferedRegion( region );
dispacementfield->Allocate();
VectorType values;
values[0]=0;
values[1]=0;
typedef itk::ImageRegionIteratorWithIndex<VectorImageType> Iterator;
for( Iterator inIter( dispacementfield, region ); !inIter.IsAtEnd(); ++inIter )
{
const unsigned int i=inIter.GetIndex()[0];
const unsigned int j=inIter.GetIndex()[1];
values[0]=0.125*i*i+0.125*j;
values[1]=0.125*i*j+0.25*j;
inIter.Set( values );
//std::cout << "Setting: " << values << " at " << inIter.GetIndex() << std::endl;
}
//displacementfield:
//|-------------------------------------------|
//| [0.25;0.5] | [0.375;0.75] | [0.75;1] |
//|-------------------------------------------|
//| [0.125;0.25] | [0.25;0.375] | [0.625;0.5] |
//|-------------------------------------------|
//| [0.0;0.0] | [0.125;0.0] | [0.5;0] |
//|-------------------------------------------|
//
//J(1,1) = [ (.625-.125)/2 (.5-.25)/2; (.375-.125)/2 (.75-0.0)/2] =[ .25 .125; .125 .375]
//det((J+I)(1,1))=((.25+1.0)*(.375+1.0))-(.125*.125) = 1.703125;
const float KNOWN_ANSWER=(((.25+1.0)*(.375+1.0))-(.125*.125));
itk::DisplacementFieldJacobianDeterminantFilter<VectorImageType,float>::Pointer
filter =
itk::DisplacementFieldJacobianDeterminantFilter<VectorImageType,float>::New();
filter->SetInput(dispacementfield);
filter->Update();
itk::Image<float,2>::Pointer output=filter->GetOutput();
VectorImageType::IndexType index;
index[0]=1;
index[1]=1;
//std::cout << "Output " << output->GetPixel(index) << std::endl;
if(std::abs(output->GetPixel(index) - KNOWN_ANSWER) > 1e-13)
{
std::cout << "Test failed." << KNOWN_ANSWER << "!=" << output->GetPixel(index) << std::endl;
testPassed=false;
}
else
{
std::cout << "Test passed." << std::endl;
}
return testPassed;
}
int
itkDisplacementFieldJacobianDeterminantFilterTest(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);
bool ValueTestPassed=TestDisplacementJacobianDeterminantValue();
try
{
typedef itk::Vector<float, 3> VectorType;
typedef itk::Image< VectorType, 3> VectorImageType;
typedef itk::Image< float, 3> ScalarVectorImageType;
// Set up filter
typedef itk::DisplacementFieldJacobianDeterminantFilter<VectorImageType,float> FilterType;
FilterType::Pointer filter = FilterType::New();
filter->Print(std::cout);
// Run Test
itk::Size<3> sz;
sz[0] = 100;
sz[1] = 100;
sz[2] = 100;
itk::NullImageToImageFilterDriver< VectorImageType, ScalarVectorImageType > test1;
test1.SetImageSize(sz);
test1.SetFilter(filter.GetPointer());
test1.Execute();
filter->Print(std::cout);
// Run the Test again with ImageSpacingOn
filter->SetUseImageSpacingOn();
test1.Execute();
filter->Print(std::cout);
// Run the Test again with specified weights
float weights[3] = {1.0,2.0,3.0};
filter->SetDerivativeWeights(weights);
test1.Execute();
filter->Print(std::cout);
}
catch(itk::ExceptionObject &err)
{
std::cerr << err << std::endl;
return EXIT_FAILURE;
}
if(ValueTestPassed == false)
{
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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