/usr/include/ITK-4.5/itkGaussianRandomSpatialNeighborSubsampler.hxx is in libinsighttoolkit4-dev 4.5.0-3.
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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 __itkGaussianRandomSpatialNeighborSubsampler_hxx
#define __itkGaussianRandomSpatialNeighborSubsampler_hxx
#include "itkGaussianRandomSpatialNeighborSubsampler.h"
namespace itk {
namespace Statistics {
template <typename TSample, typename TRegion>
GaussianRandomSpatialNeighborSubsampler<TSample, TRegion>
::GaussianRandomSpatialNeighborSubsampler()
{
m_Variance = DefaultVariance;
}
template <typename TSample, typename TRegion>
typename LightObject::Pointer
GaussianRandomSpatialNeighborSubsampler<TSample, TRegion>
::InternalClone() const
{
typename LightObject::Pointer loPtr = Superclass::InternalClone();
typename Self::Pointer rval =
dynamic_cast<Self *>(loPtr.GetPointer());
if(rval.IsNull())
{
itkExceptionMacro(<< "downcast to type "
<< this->GetNameOfClass()
<< " failed.");
}
rval->m_Variance = this->m_Variance;
return loPtr;
}
template <typename TSample, typename TRegion>
typename GaussianRandomSpatialNeighborSubsampler<TSample, TRegion>::RandomIntType
GaussianRandomSpatialNeighborSubsampler<TSample, TRegion>
::GetIntegerVariate(RandomIntType lowerBound,
RandomIntType upperBound,
RandomIntType mean)
{
if (upperBound < lowerBound)
{
itkExceptionMacro(<< "upperBound (" << upperBound
<< ") not >= to lowerBound(" << lowerBound
<< ")");
}
RandomIntType randInt = 0;
do
{
RealType randVar = this->m_RandomNumberGenerator->GetNormalVariate(mean,
m_Variance);
randInt = static_cast<RandomIntType>(vcl_floor(randVar));
} while ((randInt < lowerBound) ||
(randInt > upperBound));
return randInt;
}
template <typename TSample, typename TRegion>
void
GaussianRandomSpatialNeighborSubsampler<TSample, TRegion>
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Gaussian variance: " << m_Variance << std::endl;
os << std::endl;
}
}// end namespace Statistics
}// end namespace itk
#endif
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