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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 <fstream>
#include "itkBilateralImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkFilterWatcher.h"
int itkBilateralImageFilterTest2(int ac, char* av[] )
{
if(ac < 3)
{
std::cerr << "Usage: " << av[0] << " InputImage OutputImage\n";
return -1;
}
typedef unsigned char PixelType;
const unsigned int dimension = 2;
typedef itk::Image<PixelType, dimension> myImage;
itk::ImageFileReader<myImage>::Pointer input
= itk::ImageFileReader<myImage>::New();
input->SetFileName(av[1]);
// Create a filter
typedef itk::BilateralImageFilter<myImage,myImage> FilterType;
FilterType::Pointer filter = FilterType::New();
FilterWatcher watcher(filter, "filter");
filter->SetInput(input->GetOutput());
// these settings reduce the amount of noise by a factor of 10
// when the original signal to noise level is 5
filter->SetDomainSigma( 4.0 );
filter->SetRangeSigma( 50.0 );
filter->SetDomainMu(2.5);
// Test itkSetVectorMacro
double domainSigma[dimension];
for (unsigned int i = 0; i < dimension; i++)
{
domainSigma[i] = 4.0;
}
filter->SetDomainSigma(domainSigma);
// Test itkGetVectorMacro
std::cout << "filter->GetDomainSigma(): " << filter->GetDomainSigma() << std::endl;
// Test itkSetMacro
unsigned int filterDimensionality = dimension;
unsigned long numberOfRangeGaussianSamples = 100;
filter->SetFilterDimensionality(filterDimensionality);
filter->SetNumberOfRangeGaussianSamples(numberOfRangeGaussianSamples);
// Test itkGetMacro
double rangeSigma2 = filter->GetRangeSigma();
std::cout << "filter->GetRangeSigma(): " << rangeSigma2 << std::endl;
unsigned int filterDimensionality2 = filter->GetFilterDimensionality();
std::cout << "filter->GetFilterDimensionality(): " << filterDimensionality2 << std::endl;
unsigned long numberOfRangeGaussianSamples2 = filter->GetNumberOfRangeGaussianSamples();
std::cout << "filter->GetNumberOfRangeGaussianSamples(): " << numberOfRangeGaussianSamples2 << std::endl;
double domainMu = filter->GetDomainMu();
std::cout << "filter->GetDomainMu(): " << domainMu << std::endl;
try
{
input->Update();
filter->Update();
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected: " << e.GetDescription();
return -1;
}
catch (...)
{
std::cerr << "Some other exception occurred" << std::endl;
return -2;
}
// Generate test image
itk::ImageFileWriter<myImage>::Pointer writer;
writer = itk::ImageFileWriter<myImage>::New();
writer->SetInput( filter->GetOutput() );
writer->SetFileName( av[2] );
writer->Update();
return EXIT_SUCCESS;
}
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