1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107
|
/*=========================================================================
*
* 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"
int itkRescaleIntensityImageFilterTest(int, char* [] )
{
std::cout << "itkRescaleIntensityImageFilterTest Start" << std::endl;
typedef itk::Image<float,3> TestInputImage;
typedef itk::Image<float,3> 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();
// 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 );
filter->SetOutputMaximum( desiredMaximum );
try
{
filter->UpdateLargestPossibleRegion();
filter->SetFunctor(filter->GetFunctor());
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected: " << e;
return -1;
}
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::abs( obtainedMinimum - desiredMinimum ) > 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::abs( obtainedMaximum - desiredMaximum ) > 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;
}
|