/usr/include/ITK-4.5/itkImageRandomConstIteratorWithIndex.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
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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.
*
*=========================================================================*/
#ifndef __itkImageRandomConstIteratorWithIndex_hxx
#define __itkImageRandomConstIteratorWithIndex_hxx
#include "itkImageRandomConstIteratorWithIndex.h"
namespace itk
{
/** Default constructor. Needed since we provide a cast constructor. */
template< typename TImage >
ImageRandomConstIteratorWithIndex< TImage >
::ImageRandomConstIteratorWithIndex():ImageConstIteratorWithIndex< TImage >()
{
m_NumberOfPixelsInRegion = 0L;
m_NumberOfSamplesRequested = 0L;
m_NumberOfSamplesDone = 0L;
m_Generator = Statistics::MersenneTwisterRandomVariateGenerator::GetInstance();
}
/** Constructor establishes an iterator to walk a particular image and a
* particular region of that image. */
template< typename TImage >
ImageRandomConstIteratorWithIndex< TImage >
::ImageRandomConstIteratorWithIndex(const ImageType *ptr, const RegionType & region):
ImageConstIteratorWithIndex< TImage >(ptr, region)
{
m_NumberOfPixelsInRegion = region.GetNumberOfPixels();
m_NumberOfSamplesRequested = 0L;
m_NumberOfSamplesDone = 0L;
m_Generator = Statistics::MersenneTwisterRandomVariateGenerator::GetInstance();
}
/** Set the number of samples to extract from the region */
template< typename TImage >
void
ImageRandomConstIteratorWithIndex< TImage >
::SetNumberOfSamples(SizeValueType number)
{
m_NumberOfSamplesRequested = number;
}
/** Set the number of samples to extract from the region */
template< typename TImage >
typename ImageRandomConstIteratorWithIndex< TImage >::SizeValueType
ImageRandomConstIteratorWithIndex< TImage >
::GetNumberOfSamples(void) const
{
return m_NumberOfSamplesRequested;
}
/** Reinitialize the seed of the random number generator */
template< typename TImage >
void
ImageRandomConstIteratorWithIndex< TImage >
::ReinitializeSeed()
{
m_Generator->SetSeed();
}
template< typename TImage >
void
ImageRandomConstIteratorWithIndex< TImage >
::ReinitializeSeed(int seed)
{
m_Generator->SetSeed (seed);
// vnl_sample_reseed(seed);
}
/** Execute an acrobatic random jump */
template< typename TImage >
void
ImageRandomConstIteratorWithIndex< TImage >
::RandomJump()
{
typedef IndexValueType PositionValueType;
const PositionValueType randomPosition =
static_cast< PositionValueType >( m_Generator->GetVariateWithOpenRange (static_cast< double >( m_NumberOfPixelsInRegion )
- 0.5) );
/*
vnl_sample_uniform(0.0f,
static_cast<double>(m_NumberOfPixelsInRegion)-0.5) );
*/
PositionValueType position = randomPosition;
PositionValueType residual;
for ( unsigned int dim = 0; dim < TImage::ImageDimension; dim++ )
{
const SizeValueType sizeInThisDimension = this->m_Region.GetSize()[dim];
residual = position % sizeInThisDimension;
this->m_PositionIndex[dim] = residual + this->m_BeginIndex[dim];
position -= residual;
position /= sizeInThisDimension;
}
this->m_Position = this->m_Image->GetBufferPointer() + this->m_Image->ComputeOffset(this->m_PositionIndex);
}
} // end namespace itk
#endif
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