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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 "itkImageFileWriter.h"
#include "itkNarrowBandImageFilterBase.h"
#include "itkCurvatureFlowFunction.h"
#include "itkRandomImageSource.h"
#include "itkAddImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
namespace itk
{
template <typename TInputImageType, typename TOutputImageType>
class NbTestClass: public NarrowBandImageFilterBase<TInputImageType, TOutputImageType>
{
public:
typedef NbTestClass Self;
typedef NarrowBandImageFilterBase<TInputImageType, TOutputImageType> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
typedef TOutputImageType ImageType;
/** Standard method for creation through object factory. */
itkNewMacro(Self);
/** Run-time class information. */
itkTypeMacro(NbTestClass,NarrowBandImageFilterBase);
typedef CurvatureFlowFunction<TOutputImageType> FiniteFunctionType;
protected:
typename FiniteFunctionType::Pointer m_Function;
NbTestClass ()
{
m_Function=FiniteFunctionType::New();
this->SetDifferenceFunction(m_Function);
}
virtual bool Halt () ITK_OVERRIDE
{
if (this->GetElapsedIterations() == 20)
{
return true;
}
else
{
return false;
}
}
virtual void CreateNarrowBand() ITK_OVERRIDE
{
//Create a band
typename ImageType::SizeType sz= this->GetInput()->GetRequestedRegion().GetSize();
typename ImageType::IndexType tl= this->GetInput()->GetRequestedRegion().GetIndex();
typename Superclass::IndexType in;
for (in[0]=32+tl[0]; in[0]<tl[0]+(long int)(sz[0]); in[0]++)
{
for (in[1]=tl[1]+32; in[1]<tl[1]+(long int)(sz[1]);in[1]++)
{
this->InsertNarrowBandNode (in);
}
}
}
};
}
namespace
{
// simple signed distance function
template <typename TPoint>
double
SimpleSignedDistance( const TPoint & p )
{
TPoint center;
center.Fill( 32 );
double radius = 19.5;
double accum = 0.0;
for( unsigned int j = 0; j < TPoint::PointDimension; j++ )
{
accum += itk::Math::sqr( p[j] - center[j] );
}
accum = std::sqrt( accum );
return ( accum - radius );
}
}
int itkNarrowBandImageFilterBaseTest(int argc, char* argv[])
{
if(argc < 2)
{
std::cerr << "Usage: " << argv[0] << " OutputImage\n";
return EXIT_FAILURE;
}
typedef float PixelType;
typedef unsigned char WriterPixelType;
const unsigned int ImageDimension = 2;
typedef itk::Image<PixelType,ImageDimension> ImageType;
typedef itk::Image<WriterPixelType,ImageDimension> WriterImageType;
typedef itk::Point<double,ImageDimension> PointType;
ImageType::SizeType size = {{64,64}};
ImageType::IndexType index = {{0,0}};
ImageType::RegionType region;
region.SetSize( size );
region.SetIndex( index );
ImageType::Pointer inputImage = ImageType::New();
inputImage->SetLargestPossibleRegion( region );
inputImage->SetBufferedRegion( region );
inputImage->SetRequestedRegion( region );
inputImage->Allocate();
typedef itk::ImageRegionIteratorWithIndex<ImageType> Iterator;
Iterator iter( inputImage, region );
iter.GoToBegin();
while( !iter.IsAtEnd() )
{
PointType point;
inputImage->TransformIndexToPhysicalPoint( iter.GetIndex(), point );
iter.Set( SimpleSignedDistance( point ) );
++iter;
}
typedef itk::RandomImageSource<ImageType> RandomSourceType;
RandomSourceType::Pointer randomSource = RandomSourceType::New();
ImageType::SizeValueType tam[2];
tam[0]=64;
tam[1]=64;
randomSource->SetSize(tam);
randomSource->SetMin(-2);
randomSource->SetMax(2);
// For testing purposes we want random source to produce
// deterministic values. This is accompished by restricting the
// number of threads to 1.
randomSource->SetNumberOfThreads(1);
typedef itk::AddImageFilter<ImageType,ImageType,ImageType> AddFilterType;
AddFilterType::Pointer addFilter = AddFilterType::New();
addFilter->SetInput1(inputImage);
addFilter->SetInput2(randomSource->GetOutput());
typedef itk::NbTestClass <ImageType,ImageType> FilterType;
FilterType::Pointer filter = FilterType::New();
filter->SetInput(addFilter->GetOutput());
filter->Print(std::cout);
try
{
typedef itk::RescaleIntensityImageFilter<ImageType, WriterImageType> RescaleType;
RescaleType::Pointer rescale = RescaleType::New();
rescale->SetInput(filter->GetOutput());
rescale->SetOutputMinimum(0);
rescale->SetOutputMaximum(255);
typedef itk::ImageFileWriter<WriterImageType> WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetInput( rescale->GetOutput() );
writer->SetFileName( argv[1] );
writer->Write();
}
catch (itk::ExceptionObject &err)
{
(&err)->Print(std::cerr);
std::cout << "Test failed." << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test Passed. " << std::endl;
return EXIT_SUCCESS;
}
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