/usr/include/ITK-4.9/itkGaborImageSource.hxx is in libinsighttoolkit4-dev 4.9.0-4ubuntu1.
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 itkGaborImageSource_hxx
#define itkGaborImageSource_hxx
#include "itkGaborKernelFunction.h"
#include "itkGaborImageSource.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkProgressReporter.h"
#include "itkObjectFactory.h"
namespace itk
{
template< typename TOutputImage >
GaborImageSource< TOutputImage >
::GaborImageSource()
{
// Gabor parameters, defined so that the gaussian
// is centered in the default image
this->m_Mean.Fill(32.0);
this->m_Sigma.Fill(16.0);
this->m_CalculateImaginaryPart = false;
this->m_Frequency = 0.4;
this->m_PhaseOffset = 0.0;
}
template< typename TOutputImage >
void
GaborImageSource< TOutputImage >
::GenerateData()
{
OutputImageType* outputPtr = this->GetOutput();
// allocate the output buffer
outputPtr->SetBufferedRegion( outputPtr->GetRequestedRegion() );
outputPtr->Allocate();
// Create and initialize a new gaussian function
typedef GaborKernelFunction<double> KernelFunctionType;
typename KernelFunctionType::Pointer gabor = KernelFunctionType::New();
gabor->SetSigma(this->m_Sigma[0]);
gabor->SetFrequency(this->m_Frequency);
gabor->SetPhaseOffset(this->m_PhaseOffset);
gabor->SetCalculateImaginaryPart(this->m_CalculateImaginaryPart);
// Create an iterator that will walk the output region
ImageRegionIteratorWithIndex< OutputImageType >
outIt( outputPtr, outputPtr->GetRequestedRegion() );
ProgressReporter progress( this, 0,
outputPtr->GetRequestedRegion().GetNumberOfPixels() );
// Walk the output image, evaluating the spatial function at each pixel
for ( outIt.GoToBegin(); !outIt.IsAtEnd(); ++outIt )
{
const typename OutputImageType::IndexType index = outIt.GetIndex();
// The position at which the function is evaluated
typename OutputImageType::PointType evalPoint;
outputPtr->TransformIndexToPhysicalPoint(index, evalPoint);
double sum = 0.0;
for ( unsigned int i = 1; i < ImageDimension; ++i )
{
sum += vnl_math_sqr( ( evalPoint[i] - this->m_Mean[i] ) / this->m_Sigma[i] );
}
const double value = std::exp(-0.5 * sum) * gabor->Evaluate(evalPoint[0] - this->m_Mean[0]);
// Set the pixel value to the function value
outIt.Set( static_cast< PixelType >( value ) );
progress.CompletedPixel();
}
}
template< typename TOutputImage >
void
GaborImageSource< TOutputImage >
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << " Sigma: " << this->GetSigma() << std::endl;
os << indent << " Mean: " << this->GetMean() << std::endl;
os << indent << " Frequency: " << this->GetFrequency() << std::endl;
if ( this->GetCalculateImaginaryPart() )
{
os << indent << " Calculate complex part: true " << std::endl;
}
else
{
os << indent << " Calculate complex part: false " << std::endl;
}
}
} // end namespace itk
#endif
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