/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkNormalizeImageFilterTest.cxx,v $
  Language:  C++
  Date:      $Date: 2003/09/10 14:30:06 $
  Version:   $Revision: 1.11 $

  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();
  unsigned long 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 0;
}
