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/*
//
// Copyright 1997-2009 Torsten Rohlfing
//
// Copyright 2004-2012, 2014 SRI International
//
// This file is part of the Computational Morphometry Toolkit.
//
// http://www.nitrc.org/projects/cmtk/
//
// The Computational Morphometry Toolkit is free software: you can
// redistribute it and/or modify it under the terms of the GNU General Public
// License as published by the Free Software Foundation, either version 3 of
// the License, or (at your option) any later version.
//
// The Computational Morphometry Toolkit is distributed in the hope that it
// will be useful, but WITHOUT ANY WARRANTY; without even the implied
// warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License along
// with the Computational Morphometry Toolkit. If not, see
// <http://www.gnu.org/licenses/>.
//
// $Revision: 5137 $
//
// $LastChangedDate: 2014-01-10 11:38:43 -0800 (Fri, 10 Jan 2014) $
//
// $LastChangedBy: torstenrohlfing $
//
*/
#include "cmtkEntropyMinimizationIntensityCorrectionFunctionalDevice.h"
#include "cmtkEntropyMinimizationIntensityCorrectionFunctionalDevice_kernels.h"
template<unsigned int NOrderAdd,unsigned int NOrderMul>
void
cmtk::EntropyMinimizationIntensityCorrectionFunctionalDevice<NOrderAdd,NOrderMul>
::SetInputImage( UniformVolume::SmartConstPtr& inputImage )
{
this->Superclass::SetInputImage( inputImage );
this->m_InputImageDevice = DeviceUniformVolume::Create( *inputImage, 512 );
this->m_NumberOfPixels = inputImage->GetNumberOfPixels();
this->m_HistogramDevice = DeviceHistogram::Create( this->m_NumberOfHistogramBins );
}
template<unsigned int NOrderAdd,unsigned int NOrderMul>
void
cmtk::EntropyMinimizationIntensityCorrectionFunctionalDevice<NOrderAdd,NOrderMul>
::SetForegroundMask( const UniformVolume& foregroundMask )
{
this->Superclass::SetForegroundMask( foregroundMask );
std::vector<int> maskCopy( this->m_NumberOfPixels );
for ( size_t i = 0; i < this->m_NumberOfPixels; ++i )
{
if ( this->m_ForegroundMask[i] )
maskCopy[i] = 1;
else
maskCopy[i] = 0;
}
this->m_ForegroundMaskDevice = DeviceMemory<int>::Create( this->m_NumberOfPixels, &maskCopy[0], 512 );
}
#pragma GCC diagnostic ignored "-Wtype-limits"
template<unsigned int NOrderAdd,unsigned int NOrderMul>
typename cmtk::EntropyMinimizationIntensityCorrectionFunctionalDevice<NOrderAdd,NOrderMul>::ReturnType
cmtk::EntropyMinimizationIntensityCorrectionFunctionalDevice<NOrderAdd,NOrderMul>
::EvaluateWithGradient
( CoordinateVector& v, CoordinateVector& g, const Types::Coordinate step )
{
const typename Self::ReturnType baseValue = this->EvaluateAt( v );
for ( size_t dim = 0; dim < this->VariableParamVectorDim(); ++dim )
{
const Types::Coordinate stepScale = this->GetParamStep( dim, step );
if ( stepScale <= 0 )
{
g[dim] = 0;
}
else
{
const Types::Coordinate v0 = v[dim];
v[dim] += stepScale;
const typename Self::ReturnType upper = this->EvaluateAt( v );
v[dim] = v0 - stepScale;
const typename Self::ReturnType lower = this->EvaluateAt( v );
v[dim] = v0;
if ( (upper > baseValue) || (lower > baseValue) )
{
g[dim] = upper-lower;
}
else
{
g[dim] = 0;
}
}
}
return baseValue;
}
template<unsigned int NOrderAdd,unsigned int NOrderMul>
void
cmtk::EntropyMinimizationIntensityCorrectionFunctionalDevice<NOrderAdd,NOrderMul>
::UpdateOutputImageDevice()
{
if ( !this->m_OutputDataDevice )
this->m_OutputDataDevice = DeviceMemory<float>::Create( this->m_NumberOfPixels, 512 );
float* input = this->m_InputImageDevice->GetDataOnDevice().Ptr();
float* output = this->m_OutputDataDevice->Ptr();
const int dims0 = this->m_InputImage->m_Dims[0];
const int dims1 = this->m_InputImage->m_Dims[1];
const int dims2 = this->m_InputImage->m_Dims[2];
if ( Self::PolynomialTypeMul::NumberOfMonomials > 1 )
{
std::vector<float> parameters( Self::PolynomialTypeMul::NumberOfMonomials ), corrections( Self::PolynomialTypeMul::NumberOfMonomials );
for ( size_t i = 1; i < Self::PolynomialTypeMul::NumberOfMonomials; ++i )
{
parameters[i] = static_cast<float>( this->m_CoefficientsMul[i] );
corrections[i] = static_cast<float>( this->m_AddCorrectionMul[i] );
}
EntropyMinimizationIntensityCorrectionFunctionalDeviceUpdateOutputImage( output, input, dims0, dims1, dims2, NOrderMul, 1 /*multiply*/, Self::PolynomialTypeMul::NumberOfMonomials, ¶meters[1], &corrections[1] );
input = output; // if additive bias also, apply to output of multiplicative stage
}
if ( Self::PolynomialTypeAdd::NumberOfMonomials > 1 )
{
std::vector<float> parameters( Self::PolynomialTypeAdd::NumberOfMonomials ), corrections( Self::PolynomialTypeAdd::NumberOfMonomials );
for ( size_t i = 1; i < Self::PolynomialTypeAdd::NumberOfMonomials; ++i )
{
parameters[i] = static_cast<float>( this->m_CoefficientsAdd[i] );
corrections[i] = static_cast<float>( this->m_AddCorrectionAdd[i] );
}
EntropyMinimizationIntensityCorrectionFunctionalDeviceUpdateOutputImage( output, input, dims0, dims1, dims2, NOrderAdd, 0 /*multiply*/, Self::PolynomialTypeAdd::NumberOfMonomials, ¶meters[1], &corrections[1] );
}
}
template<unsigned int NOrderAdd,unsigned int NOrderMul>
typename cmtk::EntropyMinimizationIntensityCorrectionFunctionalDevice<NOrderAdd,NOrderMul>::ReturnType
cmtk::EntropyMinimizationIntensityCorrectionFunctionalDevice<NOrderAdd,NOrderMul>
::EvaluateDevice()
{
const Types::DataItemRange range = this->m_EntropyHistogram->GetRange();
this->m_HistogramDevice->Reset();
this->m_HistogramDevice->Populate( *this->m_OutputDataDevice, *this->m_ForegroundMaskDevice, static_cast<float>( range.m_LowerBound ), static_cast<float>( range.m_UpperBound ), this->m_UseLogIntensities );
return -this->m_HistogramDevice->GetEntropy();
}
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