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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 "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkStatisticsImageFilter.h"
#include "itkBinaryThresholdImageFilter.h"
int itkBinaryThresholdImageFilterTest2(int ac, char* av[] )
{
if(ac < 4)
{
std::cerr << "Usage: " << av[0] <<" InputImage1 InputImage2 OutputImage\n";
return -1;
}
// Threshold one image based on the statistics of another image
//
//
// Define the dimension of the images
const unsigned int ImageDimension = 2;
// Declare the types of the images
typedef itk::Image<unsigned char, ImageDimension> ImageType;
typedef itk::Image<double, ImageDimension> FloatImageType;
// File reader and writer
typedef itk::ImageFileReader<FloatImageType> ReaderType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( av[1] );
ReaderType::Pointer reader2 = ReaderType::New();
reader2->SetFileName( av[2] );
typedef itk::ImageFileWriter<ImageType> WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetFileName( av[3] );
// Declare the filter types
typedef itk::StatisticsImageFilter<FloatImageType> StatisticsType;
typedef itk::BinaryThresholdImageFilter<FloatImageType, ImageType> ThresholdType;
// Create the filters
StatisticsType::Pointer statistics = StatisticsType::New();
ThresholdType::Pointer threshold = ThresholdType::New();
// connect the standard pipeline connections
statistics->SetInput( reader2->GetOutput() );
threshold->SetInput( reader->GetOutput() );
// print before assigning thresholds
threshold->Print(std::cout);
// now connect the inputs and outputs that are decorated scalars
threshold->SetUpperThresholdInput( statistics->GetMeanOutput() );
threshold->SetLowerThresholdInput( statistics->GetMinimumOutput() );
// connect the writer
writer->SetInput( threshold->GetOutput() );
// Execute the filter
try
{
writer->Update();
}
catch(...)
{
std::cerr << "Caught an unexpected exception. " << std::endl;
std::cerr << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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