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/*=========================================================================
Program: VMTK
Module: $RCSfile: vtkbvsObjectnessMeasureImageFilter.cxx,v $
Language: C++
Date: $Date: 2006/04/06 16:48:25 $
Version: $Revision: 1.1 $
Copyright (c) Luca Antiga, David Steinman. All rights reserved.
See LICENCE file for details.
Portions of this code are covered under the VTK copyright.
See VTKCopyright.txt or http://www.kitware.com/VTKCopyright.htm
for details.
Portions of this code are covered under the ITK copyright.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm
for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#include "vtkvmtkObjectnessMeasureImageFilter.h"
#include "vtkObjectFactory.h"
#include "vtkvmtkITKFilterUtilities.h"
#include "itkMultiScaleHessianBasedMeasureImageFilter.h"
#include "itkHessianToObjectnessMeasureImageFilter.h"
vtkStandardNewMacro(vtkvmtkObjectnessMeasureImageFilter);
vtkvmtkObjectnessMeasureImageFilter::vtkvmtkObjectnessMeasureImageFilter()
{
this->SigmaMin = 1.0;
this->SigmaMax = 1.0;
this->NumberOfSigmaSteps = 1;
this->SigmaStepMethod = EQUISPACED;
this->UseScaledObjectness = 0;
this->Alpha = 1.0;
this->Beta = 1.0;
this->Gamma = 1.0;
this->ObjectDimension = 1;
this->ScalesOutput = NULL;
}
vtkvmtkObjectnessMeasureImageFilter::~vtkvmtkObjectnessMeasureImageFilter()
{
if (this->ScalesOutput)
{
this->ScalesOutput->Delete();
this->ScalesOutput = NULL;
}
}
void vtkvmtkObjectnessMeasureImageFilter::SimpleExecute(vtkImageData* input, vtkImageData* output)
{
typedef itk::Image<float,3> ImageType;
ImageType::Pointer inImage = ImageType::New();
vtkvmtkITKFilterUtilities::VTKToITKImage<ImageType>(input,inImage);
typedef itk::SymmetricSecondRankTensor<float,3> HessianPixelType;
typedef itk::Image<HessianPixelType,3> HessianImageType;
typedef itk::HessianToObjectnessMeasureImageFilter<HessianImageType,ImageType> ObjectnessFilterType;
typedef itk::MultiScaleHessianBasedMeasureImageFilter<ImageType,HessianImageType,ImageType> MultiScaleFilterType;
typedef MultiScaleFilterType::ScalesImageType ScalesImageType;
ObjectnessFilterType::Pointer objectnessFilter = ObjectnessFilterType::New();
objectnessFilter->SetScaleObjectnessMeasure(this->UseScaledObjectness);
objectnessFilter->SetBrightObject(true);
objectnessFilter->SetObjectDimension(this->ObjectDimension);
objectnessFilter->SetAlpha(this->Alpha);
objectnessFilter->SetBeta(this->Beta);
objectnessFilter->SetGamma(this->Gamma);
MultiScaleFilterType::Pointer multiScaleFilter = MultiScaleFilterType::New();
multiScaleFilter->SetInput(inImage);
multiScaleFilter->SetSigmaMinimum(this->SigmaMin);
multiScaleFilter->SetSigmaMaximum(this->SigmaMax);
multiScaleFilter->SetNumberOfSigmaSteps(this->NumberOfSigmaSteps);
if (this->SigmaStepMethod == EQUISPACED)
{
multiScaleFilter->SetSigmaStepMethodToEquispaced();
}
else if (this->SigmaStepMethod == LOGARITHMIC)
{
multiScaleFilter->SetSigmaStepMethodToLogarithmic();
}
multiScaleFilter->GenerateScalesOutputOn();
multiScaleFilter->SetHessianToMeasureFilter(objectnessFilter);
multiScaleFilter->Update();
if (this->ScalesOutput)
{
this->ScalesOutput->Delete();
this->ScalesOutput = NULL;
}
this->ScalesOutput = vtkImageData::New();
ScalesImageType::Pointer scalesImage = const_cast<ScalesImageType*>(multiScaleFilter->GetScalesOutput());
vtkvmtkITKFilterUtilities::ITKToVTKImage<ScalesImageType>(scalesImage,this->ScalesOutput);
vtkvmtkITKFilterUtilities::ITKToVTKImage<ImageType>(multiScaleFilter->GetOutput(),output);
}
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