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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkRandomImageSource.txx,v $
Language: C++
Date: $Date: 2008-01-04 20:22:11 $
Version: $Revision: 1.55 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
Portions of this code are covered under the VTK copyright.
See VTKCopyright.txt or http://www.kitware.com/VTKCopyright.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.
=========================================================================*/
#ifndef __itkRandomImageSource_txx
#define __itkRandomImageSource_txx
#include "itkRandomImageSource.h"
#include "itkImageRegionIterator.h"
#include "itkObjectFactory.h"
#include "itkProgressReporter.h"
namespace itk
{
/**
*
*/
template <class TOutputImage>
RandomImageSource<TOutputImage>
::RandomImageSource()
{
m_Size = new unsigned long [TOutputImage::GetImageDimension()];
m_Spacing = new float [TOutputImage::GetImageDimension()];
m_Origin = new float [TOutputImage::GetImageDimension()];
//Initial image is 64 wide in each direction.
for (unsigned int i=0; i<TOutputImage::GetImageDimension(); i++)
{
m_Size[i] = 64;
m_Spacing[i] = 1.0;
m_Origin[i] = 0.0;
}
m_Min = NumericTraits<OutputImagePixelType>::NonpositiveMin();
m_Max = NumericTraits<OutputImagePixelType>::max();
}
template <class TOutputImage>
RandomImageSource<TOutputImage>
::~RandomImageSource()
{
delete [] m_Size;
delete [] m_Spacing;
delete [] m_Origin;
}
/**
*
*/
template <class TOutputImage>
void
RandomImageSource<TOutputImage>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Max: "
<< static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_Max)
<< std::endl;
os << indent << "Min: "
<< static_cast<typename NumericTraits<OutputImagePixelType>::PrintType>(m_Min)
<< std::endl;
unsigned int i;
os << indent << "Origin: [";
for (i=0; i < TOutputImage::ImageDimension - 1; i++)
{
os << m_Origin[i] << ", ";
}
os << m_Origin[i] << "]" << std::endl;
os << indent << "Spacing: [";
for (i=0; i < TOutputImage::ImageDimension - 1; i++)
{
os << m_Spacing[i] << ", ";
}
os << m_Spacing[i] << "]" << std::endl;
os << indent << "Size: [";
for (i=0; i < TOutputImage::ImageDimension - 1; i++)
{
os << m_Size[i] << ", ";
}
os << m_Size[i] << "]" << std::endl;
}
//----------------------------------------------------------------------------
template <typename TOutputImage>
void
RandomImageSource<TOutputImage>
::GenerateOutputInformation()
{
TOutputImage *output;
typename TOutputImage::IndexType index = {{0}};
typename TOutputImage::SizeType size = {{0}};
size.SetSize( m_Size );
output = this->GetOutput(0);
typename TOutputImage::RegionType largestPossibleRegion;
largestPossibleRegion.SetSize( size );
largestPossibleRegion.SetIndex( index );
output->SetLargestPossibleRegion( largestPossibleRegion );
output->SetSpacing(m_Spacing);
output->SetOrigin(m_Origin);
}
//----------------------------------------------------------------------------
template <typename TOutputImage>
void
RandomImageSource<TOutputImage>
::ThreadedGenerateData(const OutputImageRegionType& outputRegionForThread,
int threadId )
{
itkDebugMacro(<<"Generating a random image of scalars");
// Support progress methods/callbacks
ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels());
typedef typename TOutputImage::PixelType scalarType;
typename TOutputImage::Pointer image=this->GetOutput(0);
ImageRegionIterator<TOutputImage> it(image, outputRegionForThread);
// Random number seed
unsigned int sample_seed = 12345 + threadId;
double u;
double rnd;
double dMin = static_cast<double>(m_Min);
double dMax = static_cast<double>(m_Max);
for (; !it.IsAtEnd(); ++it)
{
sample_seed = (sample_seed*16807)%2147483647L;
u = static_cast<double>(sample_seed)/2147483711UL;
rnd = (1.0 - u)*dMin + u*dMax;
it.Set( (scalarType) rnd);
progress.CompletedPixel();
}
}
} // end namespace itk
#endif
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