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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkBinaryThresholdImageFilterTest.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 "itkImage.h"
#include "itkRandomImageSource.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkImageRegionIteratorWithIndex.h"
int itkBinaryThresholdImageFilterTest(int, char* [] )
{
// Define the dimension of the images
const unsigned int ImageDimension = 3;
// Declare the types of the images
typedef itk::Image<unsigned char, ImageDimension> InputImageType;
typedef itk::Image<float, ImageDimension> OutputImageType;
typedef InputImageType::PixelType InputPixelType;
typedef OutputImageType::PixelType OutputPixelType;
// Declare iterator type
typedef itk::ImageRegionIteratorWithIndex<
InputImageType> InputIteratorType;
typedef itk::ImageRegionIteratorWithIndex<
OutputImageType> OutputIteratorType;
// Use a random image source as input
typedef itk::RandomImageSource<InputImageType> SourceType;
SourceType::Pointer source = SourceType::New();
InputImageType::SizeValueType sizeArray[ImageDimension] = { 3,3,3 };
source->SetMin( itk::NumericTraits<InputPixelType>::Zero );
source->SetMax( itk::NumericTraits<InputPixelType>::max() );
source->SetSize( sizeArray );
// Declare the type for the binary threshold filter
typedef itk::BinaryThresholdImageFilter< InputImageType,
OutputImageType > FilterType;
// Create a filter
FilterType::Pointer filter = FilterType::New();
// Setup ivars
InputPixelType lower = 64;
InputPixelType upper = 128;
filter->SetUpperThreshold( upper );
filter->SetLowerThreshold( lower );
OutputPixelType inside = -0.5;
OutputPixelType outside = 0.5;
filter->SetInsideValue( inside );
filter->SetOutsideValue( outside );
filter->Print( std::cout );
filter->SetFunctor(filter->GetFunctor());
// exercise Get methods
std::cout << "OutsideValue: " << filter->GetOutsideValue() << std::endl;
std::cout << "InsideValue: " << filter->GetInsideValue() << std::endl;
std::cout << "UpperThreshold: "
<< itk::NumericTraits<InputPixelType>::PrintType(filter->GetUpperThreshold())
<< std::endl;
std::cout << "LowerThreshold: "
<< itk::NumericTraits<InputPixelType>::PrintType(filter->GetLowerThreshold())
<< std::endl;
// Connect the input images
filter->SetInput( source->GetOutput() );
// Get the Smart Pointer to the Filter Output
OutputImageType::Pointer outputImage = filter->GetOutput();
// Execute the filter
try
{
filter->Update();
filter->SetFunctor(filter->GetFunctor());
}
catch(...)
{
std::cerr << "Caught an unexpected exception. " << std::endl;
std::cerr << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
// Create an iterator for going through the image output
InputIteratorType it( source->GetOutput(), source->GetOutput()->GetRequestedRegion() );
OutputIteratorType ot(outputImage, outputImage->GetRequestedRegion());
// Check the content of the result image
std::cout << "Verification of the output " << std::endl;
ot.GoToBegin();
it.GoToBegin();
while( !ot.IsAtEnd() )
{
const InputPixelType input = it.Get();
const OutputPixelType output = ot.Get();
std::cout << (double) input << " " << (double) output << std::endl;
bool pass = true;
if( lower <= input && input <= upper )
{
if ( output != inside )
{
pass = false;
}
}
else if ( output != outside )
{
pass = false;
}
if ( !pass )
{
std::cerr << "Error in itkBinaryThresholdImageFilterTest " << std::endl;
std::cerr << " lower = " << (double)lower;
std::cerr << " upper = " << (double)upper;
std::cerr << " inside = " << (double)inside;
std::cerr << " outside = " << (double) outside;
std::cerr << std::endl;
std::cerr << " input = " << (double) input;
std::cerr << " output = " << (double) output;
std::cerr << std::endl;
return EXIT_FAILURE;
}
++ot;
++it;
}
// Deliberately cause an exception by setting lower threshold to be
// greater than the upper threshold
filter->SetUpperThreshold( lower );
filter->SetLowerThreshold( upper );
bool pass = false;
try
{
filter->Update();
}
catch(itk::ExceptionObject &err)
{
pass = true;
std::cout << "Caught an expected exception. " << std::endl;
std::cout << err << std::endl;
}
if ( pass )
{
std::cout << "Test passsed. " << std::endl;
return EXIT_SUCCESS;
}
else
{
std::cout << "Test failed. " << std::endl;
return EXIT_FAILURE;
}
}
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