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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 "itkDiscreteGaussianImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
template<typename TIMAGE>
int itkDiscreteGaussianImageFilterTestA(int argc, char* argv[])
{
if( argc < 6 )
{
std::cerr << "Missing Arguments" << std::endl;
return EXIT_FAILURE;
}
typedef TIMAGE ImageType;
const char * input_file_name = argv[3];
float sigma = atof(argv[4]);
const char * output_file_name = argv[5];
typedef itk::ImageFileReader<ImageType> ReaderType;
typename ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(input_file_name);
typedef itk::DiscreteGaussianImageFilter<ImageType, ImageType> FilterType;
typename FilterType::Pointer filter = FilterType::New();
filter->SetInput(reader->GetOutput());
filter->SetVariance(sigma);
filter->Update();
typedef itk::ImageFileWriter<ImageType> WriterType;
typename WriterType::Pointer writer = WriterType::New();
writer->SetFileName(output_file_name);
writer->SetInput(filter->GetOutput());
writer->UseCompressionOn();
writer->Update();
return EXIT_SUCCESS;
}
int itkDiscreteGaussianImageFilterTest2(int argc, char *argv[])
{
if (argc < 3)
{
std::cerr
<< "Test DiscreteGaussianImageFilter working on both vector type and scalar type images on one 2D RGB image and 2D scalar image."
<< std::endl
<< "DiscreteGaussianImageFilterTest #image_dim #vector_dim #image_file_name #sigma #output_file_name"
<< std::endl << "e.g. test on a vector image: " << std::endl
<< "DiscreteGaussianImageFilterTest 2 3 ShapesRGB.mha 4.5 ShapesRGB_Smoothed.mha"
<< std::endl << "test on a scalar image: " << std::endl
<< "DiscreteGaussianImageFilterTest 2 3 Shapes.mha 4.5 Shapes_Smoothed.mha"
<< std::endl;
return EXIT_FAILURE;
}
unsigned int img_dim = atoi(argv[1]);
unsigned int vec_dim = atoi(argv[2]);
if (img_dim != 2)
{
std::cerr << "This test only supports 2D image for demo! exiting ..."
<< std::endl;
return EXIT_FAILURE;
}
if (vec_dim != 1 && vec_dim != 3)
{
std::cerr
<< "This test only supports 3-channel image or 1-channel image for demo! Exiting ... "
<< std::endl;
return EXIT_FAILURE;
}
typedef float ScalarPixelType;
typedef itk::Image<ScalarPixelType, 2> ScalarImageType;
typedef itk::Vector<ScalarPixelType, 3> VectorPixelType;
typedef itk::Image<VectorPixelType, 2> VectorImageType;
switch (vec_dim)
{
case 1:
itkDiscreteGaussianImageFilterTestA<ScalarImageType> (argc, argv);
break;
case 3:
itkDiscreteGaussianImageFilterTestA<VectorImageType> (argc, argv);
break;
}
return EXIT_SUCCESS;
}
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