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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkNormalizeImageFilterTest.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 <iostream>
#include "itkImageRegionIterator.h"
#include "itkNormalizeImageFilter.h"
#include "itkRandomImageSource.h"
#include "itkStatisticsImageFilter.h"
#include "itkStreamingImageFilter.h"
#include "itkFilterWatcher.h"
int itkNormalizeImageFilterTest(int, char* [] )
{
std::cout << "itkNormalizeImageFilterTest Start" << std::endl;
typedef itk::Image<short,3> ShortImage;
typedef itk::Image<float,3> FloatImage;
ShortImage::Pointer image = ShortImage::New();
// Generate a real image
typedef itk::RandomImageSource<ShortImage> SourceType;
SourceType::Pointer source = SourceType::New();
ShortImage::SizeValueType randomSize[3] = {18, 17, 67};
source->SetSize( randomSize );
float minValue = -1000.0;
float maxValue = 1000.0;
source->SetMin( static_cast<ShortImage::PixelType>( minValue ) );
source->SetMax( static_cast<ShortImage::PixelType>( maxValue ) );
typedef itk::NormalizeImageFilter<ShortImage,FloatImage> NormalizeType;
NormalizeType::Pointer normalize = NormalizeType::New();
FilterWatcher watch(normalize, "Streaming");
normalize->SetInput(source->GetOutput());
typedef itk::StreamingImageFilter<FloatImage,FloatImage> StreamingType;
StreamingType::Pointer streaming = StreamingType::New();
streaming->SetNumberOfStreamDivisions(5);
streaming->SetInput (normalize->GetOutput());
streaming->Update();
// Force the filter to re-execute
source->Modified();
typedef itk::StatisticsImageFilter<FloatImage> StatisticsType;
StatisticsType::Pointer statistics = StatisticsType::New();
statistics->SetInput(streaming->GetOutput());
statistics->UpdateLargestPossibleRegion();
std::cout << "Mean is: " << statistics->GetMean() << " Sigma is: " << statistics->GetSigma() << std::endl;
return EXIT_SUCCESS;
}
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