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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkHessianToObjectnessMeasureImageFilterTest.cxx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
#include "itkHessianToObjectnessMeasureImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkImage.h"
#include "itkHessianRecursiveGaussianImageFilter.h"
int itkHessianToObjectnessMeasureImageFilterTest( int argc, char *argv[] )
{
if ( argc < 3 )
{
std::cerr << "Missing Parameters: "
<< argv[0]
<< " Input_Image"
<< " Enhanced_Output_Image [ObjectDimension] [Bright/Dark]" << std::endl;
return EXIT_FAILURE;
}
// Define the dimension of the images
const unsigned char Dim = 2;
typedef float PixelType;
// Declare the types of the images
typedef itk::Image<PixelType,Dim> ImageType;
typedef itk::ImageFileReader<ImageType> FileReaderType;
typedef itk::ImageFileWriter<ImageType> FileWriterType;
typedef itk::RescaleIntensityImageFilter<ImageType> RescaleFilterType;
// Declare the type of the recursive Gaussian filter
typedef itk::HessianRecursiveGaussianImageFilter<
ImageType > GaussianImageFilterType;
typedef GaussianImageFilterType::OutputImageType HessianImageType;
// Delcare the type of objectness measure image filter
typedef itk::HessianToObjectnessMeasureImageFilter<HessianImageType, ImageType > ObjectnessFilterType;
FileReaderType::Pointer imageReader = FileReaderType::New();
imageReader->SetFileName(argv[1]);
try
{
imageReader->Update();
}
catch (itk::ExceptionObject &ex)
{
std::cout << ex << std::endl;
return EXIT_FAILURE;
}
// Create a Gaussian Filter
GaussianImageFilterType::Pointer gaussianFilter = GaussianImageFilterType::New();
// Create a vesselness Filter
ObjectnessFilterType::Pointer objectnessFilter = ObjectnessFilterType::New();
// Connect the input images
gaussianFilter->SetInput( imageReader->GetOutput() );
objectnessFilter->SetInput( gaussianFilter->GetOutput() );
objectnessFilter->SetScaleObjectnessMeasure(false);
if ( objectnessFilter->GetScaleObjectnessMeasure() )
{
std::cerr << "Error in Set/GetScaleObjectnessMeasure method" << std::endl;
return EXIT_FAILURE;
}
//Exercise more methods
objectnessFilter->ScaleObjectnessMeasureOn();
if ( !objectnessFilter->GetScaleObjectnessMeasure() )
{
std::cerr << "Error in ScaleObjectnessMeasureOn" << std::endl;
return EXIT_FAILURE;
}
objectnessFilter->ScaleObjectnessMeasureOff();
if ( objectnessFilter->GetScaleObjectnessMeasure() )
{
std::cerr << "Error in ScaleObjectnessMeasureOff method" << std::endl;
return EXIT_FAILURE;
}
objectnessFilter->SetBrightObject(true);
if ( ! objectnessFilter->GetBrightObject() )
{
std::cerr << "Error in Set/GetBrightObject method" << std::endl;
return EXIT_FAILURE;
}
const double tolerance = 0.001;
double alphaValue = 0.5;
objectnessFilter->SetAlpha(alphaValue);
if( vnl_math_abs( objectnessFilter->GetAlpha() - alphaValue ) >= tolerance )
{
std::cerr << "Error in Set/GetAlpha() method" << std::endl;
return EXIT_FAILURE;
}
double betaValue = 0.5;
objectnessFilter->SetBeta(betaValue);
if( vnl_math_abs( objectnessFilter->GetBeta() - betaValue ) >= tolerance )
{
std::cerr << "Error in Set/GetBeta() method" << std::endl;
return EXIT_FAILURE;
}
double gammaValue = 0.5;
objectnessFilter->SetGamma( gammaValue );
if( vnl_math_abs( objectnessFilter->GetGamma() - gammaValue ) >= tolerance )
{
std::cerr << "Error in Set/GetGamma() method" << std::endl;
return EXIT_FAILURE;
}
//Verify exceptions will be thrown if the object dimension is larger than
//the image dimension
objectnessFilter->SetObjectDimension( 3 );
try
{
objectnessFilter->Update();
std::cerr << "Exceptions should have been thrown ( objectDimension > imageDimension )"
<< std::endl;
return EXIT_FAILURE;
}
catch (itk::ExceptionObject &e)
{
std::cerr << e << std::endl;
}
if ( argc >= 3 )
{
unsigned int objectDimension = atoi(argv[3]);
objectnessFilter->SetObjectDimension( objectDimension );
if ( objectnessFilter->GetObjectDimension() != objectDimension )
{
std::cerr << "Error in Set/GetObjectDimension() method" << std::endl;
return EXIT_FAILURE;
}
}
if ( argc >= 4 )
{
bool brightObject = atoi( argv[4] );
objectnessFilter->SetBrightObject( brightObject );
if ( objectnessFilter->GetBrightObject() != brightObject )
{
std::cerr << "Error in Set/GetBrightObject() method" << std::endl;
return EXIT_FAILURE;
}
}
try
{
objectnessFilter->Update();
}
catch (itk::ExceptionObject &e)
{
std::cerr << e << std::endl;
}
FileWriterType::Pointer writer = FileWriterType::New();
writer->SetFileName(argv[2]);
writer->UseCompressionOn();
writer->SetInput(objectnessFilter->GetOutput());
try
{
writer->Update();
}
catch (itk::ExceptionObject &e)
{
std::cerr << e << std::endl;
}
//Print out
objectnessFilter->Print( std::cout );
return EXIT_SUCCESS;
}
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