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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"
int itkBilateralImageFilterTest3(int ac, char* av[] )
{
if(ac < 3)
{
std::cerr << "Usage: " << av[0] << " InputImage BaselineImage\n";
return -1;
}
typedef unsigned char PixelType;
typedef itk::Image<PixelType, 2> 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 filter1 = FilterType::New();
filter1->SetInput(input->GetOutput());
FilterType::Pointer filter2 = FilterType::New();
filter2->SetInput(filter1->GetOutput());
FilterType::Pointer filter3 = FilterType::New();
filter3->SetInput(filter2->GetOutput());
// Instead of using a single aggressive smoothing filter, use 3
// less aggressive filters.
//
// These settings match the "wedding" cake image (cake_easy.png) where
// the signal to noise ratio is 5 (step heights near 100 units,
// noise sigma near 20 units). A single filter stage with these
// settings cuts the noise level in half. These three stages should
// reduce the amount of noise by a factor of 8. This is comparable to
// the noise reduction in using a single stage with parameters
// (4.0, 50.0). The difference is that with 3 less aggressive stages
// the edges are preserved better.
filter1->SetDomainSigma( 4.0 );
filter1->SetRangeSigma( 20.0 );
filter1->SetDomainMu( 2.5 );
filter2->SetDomainSigma( 4.0 );
filter2->SetRangeSigma( 20.0 );
filter2->SetDomainMu( 2.5 );
filter3->SetDomainSigma( 4.0 );
filter3->SetRangeSigma( 20.0 );
filter3->SetDomainMu( 2.5 );
try
{
input->Update();
filter3->Update();
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected: " << e.GetDescription();
return -1;
}
// Generate test image
itk::ImageFileWriter<myImage>::Pointer writer;
writer = itk::ImageFileWriter<myImage>::New();
writer->SetInput( filter3->GetOutput() );
writer->SetFileName( av[2] );
writer->Update();
return EXIT_SUCCESS;
}
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