/usr/include/ITK-4.5/itkIntermodesThresholdCalculator.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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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 __itkIntermodesThresholdCalculator_hxx
#define __itkIntermodesThresholdCalculator_hxx
#include "itkIntermodesThresholdCalculator.h"
#include "itkProgressReporter.h"
namespace itk
{
template<typename THistogram, typename TOutput>
bool
IntermodesThresholdCalculator<THistogram, TOutput>
::BimodalTest(const std::vector<double> & h)
{
int modes = 0;
const size_t len = h.size();
for (size_t k = 1; k < len - 1; k++)
{
if ( (h[k-1] < h[k]) && (h[k+1] < h[k]))
{
++modes;
if(modes > 2)
{
return false;
}
}
}
return (modes == 2);
}
/*
* Compute the Intermodes's threshold
*/
template<typename THistogram, typename TOutput>
void
IntermodesThresholdCalculator<THistogram, TOutput>
::GenerateData(void)
{
const HistogramType * histogram = this->GetInput();
// histogram->Print(std::cout);
if ( histogram->GetTotalFrequency() == 0 )
{
itkExceptionMacro(<< "Histogram is empty");
}
SizeValueType size = histogram->GetSize(0);
ProgressReporter progress(this, 0, size );
if( size == 1 )
{
this->GetOutput()->Set( static_cast<OutputType>( histogram->GetMeasurement(0,0) ) );
return;
}
// smooth the histogram
std::vector<double> smoothedHist(size);
for( InstanceIdentifier i = 0; i<size; i++)
{
smoothedHist[i] = static_cast< double >( histogram->GetFrequency(i, 0) );
progress.CompletedPixel();
}
SizeValueType smIter = 0;
while (!BimodalTest(smoothedHist))
{
// smooth with a 3 point running mean
double previous = 0.;
double current = 0.;
double next = smoothedHist[0];
for (size_t i = 0; i < smoothedHist.size() - 1; i++)
{
previous = current;
current = next;
next = smoothedHist[i + 1];
smoothedHist[i] = (previous + current + next) / 3.;
}
smoothedHist[smoothedHist.size() - 1] = (current + next) / 3.;
++smIter;
if (smIter > m_MaximumSmoothingIterations )
{
itkGenericExceptionMacro( << "Exceeded maximum iterations for histogram smoothing." );
return;
}
}
size_t tt = 0;
if (m_UseInterMode)
{
// The threshold is the mean between the two peaks.
for (size_t i=1; i<smoothedHist.size() - 1; i++)
{
if ( ( smoothedHist[i-1] < smoothedHist[i] )&& ( smoothedHist[i+1] < smoothedHist[i] ) )
{
tt += i;
}
}
tt /= 2;
}
else
{
size_t firstpeak=0;
for (size_t i=1; i<smoothedHist.size() - 1; i++)
{
if( (smoothedHist[i-1] < smoothedHist[i] ) && ( smoothedHist[i+1] < smoothedHist[i] ) )
{
firstpeak = i;
break;
}
}
double minVal = smoothedHist[firstpeak];
tt = firstpeak;
for (size_t i=firstpeak + 1; i<smoothedHist.size() - 1; i++)
{
if (smoothedHist[i] < minVal)
{
minVal = smoothedHist[i];
tt = i;
}
if( (smoothedHist[i-1] < smoothedHist[i] ) && ( smoothedHist[i+1] < smoothedHist[i] ) )
{
break;
}
}
}
this->GetOutput()->Set( static_cast<OutputType>( histogram->GetMeasurement( tt, 0 ) ) );
}
template<typename THistogram, typename TOutput>
void
IntermodesThresholdCalculator<THistogram, TOutput>
::PrintSelf( std::ostream& os, Indent indent ) const
{
Superclass::PrintSelf(os,indent);
os << indent << "MaximumSmoothingIterations: " << m_MaximumSmoothingIterations << std::endl;
os << indent << "UseInterMode: " << m_UseInterMode << std::endl;
}
} // end namespace itk
#endif
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