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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.
*
*=========================================================================*/
// a test routine for regional extrema using flooding
#include "itkValuedRegionalMinimaImageFilter.h"
#include "itkMaximumImageFilter.h"
#include "itkHConcaveImageFilter.h"
#include "itkInvertIntensityImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkAndImageFilter.h"
#include "itkSimpleFilterWatcher.h"
int itkValuedRegionalMinimaImageFilterTest(int argc, char * argv[])
{
const int dim = 2;
if( argc < 5 )
{
std::cerr << "Missing Parameters " << std::endl;
std::cerr << "Usage: " << argv[0];
std::cerr << " InputImage OutputImageFile1 OutputImageFile2 "
<< "OutputImageFile3" << std::endl;
return EXIT_FAILURE;
}
typedef unsigned char PixelType;
typedef itk::Image< PixelType, dim > ImageType;
typedef itk::ImageFileReader< ImageType > ReaderType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[2] );
typedef itk::ValuedRegionalMinimaImageFilter< ImageType, ImageType >
FilterType;
FilterType::Pointer filter = FilterType::New();
filter->SetInput( reader->GetOutput() );
filter->SetFullyConnected( atoi(argv[1]) );
itk::SimpleFilterWatcher watcher(filter, "filter");
typedef itk::ImageFileWriter< ImageType > WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetInput( filter->GetOutput() );
writer->SetFileName( argv[3] );
writer->Update();
// produce the same output with other filters
typedef itk::HConcaveImageFilter< ImageType, ImageType > ConcaveType;
ConcaveType::Pointer concave = ConcaveType::New();
concave->SetInput( reader->GetOutput() );
concave->SetFullyConnected( atoi(argv[1]) );
concave->SetHeight( 1 );
// concave gives minima with value=1 and others with value=0
// rescale the image so we have minima=255 other=0
typedef itk::RescaleIntensityImageFilter< ImageType, ImageType > RescaleType;
RescaleType::Pointer rescale = RescaleType::New();
rescale->SetInput( concave->GetOutput() );
rescale->SetOutputMaximum( 255 );
rescale->SetOutputMinimum( 0 );
// in the input image, select the values of the pixel at the minima
typedef itk::AndImageFilter< ImageType, ImageType, ImageType > AndType;
AndType::Pointer a = AndType::New();
a->SetInput(0, rescale->GetOutput() );
a->SetInput(1, reader->GetOutput() );
// all pixel which are not minima must have value=255.
// get the non minima pixel by inverting the rescaled image
// we will have minima value=0 and non minima value=255
typedef itk::InvertIntensityImageFilter< ImageType, ImageType > InvertType;
InvertType::Pointer invert = InvertType::New();
invert->SetInput( rescale->GetOutput() );
// get the highest value from "a" and from invert. The minima have
// value>=0 in "a" image and the non minima have a value=0. In invert,
// the non minima have a value=255 and the minima a value=0
typedef itk::MaximumImageFilter< ImageType, ImageType, ImageType > MaxType;
MaxType::Pointer max = MaxType::New();
max->SetInput(0, invert->GetOutput() );
max->SetInput(1, a->GetOutput() );
WriterType::Pointer writer2 = WriterType::New();
writer2->SetInput( max->GetOutput() );
writer2->SetFileName( argv[4] );
writer2->Update();
return EXIT_SUCCESS;
}
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