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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 "itkRescaleIntensityImageFilter.h"
#include "itkRandomImageSource.h"
#include "itkTestingMacros.h"
#include "itkUnaryFunctorImageFilter.h"
int itkRescaleIntensityImageFilterTest( int, char* [] )
{
std::cout << "itkRescaleIntensityImageFilterTest Start" << std::endl;
// Define the dimension of the images
const unsigned int ImageDimension = 3;
// Declare the pixel types of the images
typedef float PixelType;
// Declare the types of the images
typedef itk::Image< PixelType, ImageDimension > TestInputImage;
typedef itk::Image< PixelType, ImageDimension > TestOutputImage;
TestInputImage::RegionType region;
TestInputImage::SizeType size;
size.Fill(64);
TestInputImage::IndexType index;
index.Fill(0);
region.SetIndex (index);
region.SetSize (size);
typedef itk::RescaleIntensityImageFilter< TestInputImage, TestOutputImage >
FilterType;
FilterType::Pointer filter = FilterType::New();
EXERCISE_BASIC_OBJECT_METHODS( filter, RescaleIntensityImageFilter,
UnaryFunctorImageFilter );
// Now generate a real image
typedef itk::RandomImageSource< TestInputImage > SourceType;
SourceType::Pointer source = SourceType::New();
TestInputImage::SizeValueType randomSize[3] = {17, 8, 20};
// Set up source
source->SetSize( randomSize );
double minValue = -128.0;
double maxValue = 127.0;
source->SetMin( static_cast< TestInputImage::PixelType >( minValue ) );
source->SetMax( static_cast< TestInputImage::PixelType >( maxValue ) );
filter->SetFunctor( filter->GetFunctor() );
filter->SetInput( source->GetOutput() );
const double desiredMinimum = -1.0;
const double desiredMaximum = 1.0;
filter->SetOutputMinimum( desiredMinimum );
TEST_SET_GET_VALUE( desiredMinimum, filter->GetOutputMinimum() );
filter->SetOutputMaximum( desiredMaximum );
TEST_SET_GET_VALUE( desiredMaximum, filter->GetOutputMaximum() );
TRY_EXPECT_NO_EXCEPTION( filter->UpdateLargestPossibleRegion() );
typedef itk::MinimumMaximumImageCalculator< TestOutputImage > CalculatorType;
CalculatorType::Pointer calculator = CalculatorType::New();
calculator->SetImage( filter->GetOutput() );
calculator->Compute();
const double tolerance = 1e-7;
const double obtainedMinimum = calculator->GetMinimum();
const double obtainedMaximum = calculator->GetMaximum();
if( !itk::Math::FloatAlmostEqual( obtainedMinimum, desiredMinimum, 10, tolerance ) )
{
std::cerr << "Error in minimum" << std::endl;
std::cerr << "Expected minimum = " << desiredMinimum << std::endl;
std::cerr << "Obtained minimum = " << obtainedMinimum << std::endl;
return EXIT_FAILURE;
}
if( !itk::Math::FloatAlmostEqual( obtainedMaximum, desiredMaximum, 10, tolerance ) )
{
std::cerr << "Error in minimum" << std::endl;
std::cerr << "Expected minimum = " << desiredMaximum << std::endl;
std::cerr << "Obtained minimum = " << obtainedMaximum << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test PASSED ! " << std::endl;
return EXIT_SUCCESS;
}
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