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/*=========================================================================
Program: VMTK
Module: $RCSfile: vtkvmtkVesselnessMeasureImageFilter.h,v $
Language: C++
Date: $Date: 2006/04/06 16:48:25 $
Version: $Revision: 1.2 $
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.
=========================================================================*/
// .NAME vtkvmtkVesselnessMeasureImageFilter - Wrapper class around itk::VesselnessMeasureImageFilter
// .SECTION Description
// vtkvmtkVesselnessMeasureImageFilter
#ifndef __vtkvmtkVesselnessMeasureImageFilter_h
#define __vtkvmtkVesselnessMeasureImageFilter_h
#include "vtkvmtkITKImageToImageFilterFF.h"
#include "itkMultiScaleHessianBasedMeasureImageFilter.h"
#include "itkHessianToObjectnessMeasureImageFilter.h"
#include "vtkvmtkWin32Header.h"
class VTK_VMTK_SEGMENTATION_EXPORT vtkvmtkVesselnessMeasureImageFilter : public vtkvmtkITKImageToImageFilterFF
{
public:
static vtkvmtkVesselnessMeasureImageFilter *New();
vtkTypeRevisionMacro(vtkvmtkVesselnessMeasureImageFilter, vtkvmtkITKImageToImageFilterFF);
void SetSigmaMin(double value)
{
DelegateITKInputMacro(SetSigmaMinimum,value);
}
double GetSigmaMin()
{
DelegateITKOutputMacro(GetSigmaMinimum);
}
void SetSigmaMax(double value)
{
DelegateITKInputMacro(SetSigmaMaximum,value);
}
double GetSigmaMax()
{
DelegateITKOutputMacro(GetSigmaMaximum);
}
void SetNumberOfSigmaSteps(int value)
{
DelegateITKInputMacro(SetNumberOfSigmaSteps,value);
}
int GetNumberOfSigmaSteps()
{
DelegateITKOutputMacro(GetNumberOfSigmaSteps);
}
void SetSigmaStepMethodToEquispaced()
{
this->GetImageFilterPointer()->SetSigmaStepMethodToEquispaced();
this->Modified();
}
void SetSigmaStepMethodToLogarithmic()
{
this->GetImageFilterPointer()->SetSigmaStepMethodToLogarithmic();
this->Modified();
}
void SetAlpha(double value)
{
ImageFilterType* tempFilter = dynamic_cast<ImageFilterType*>(this->m_Filter.GetPointer());
if (tempFilter)
{
dynamic_cast<ObjectnessFilterType*>(tempFilter->GetHessianToMeasureFilter())->SetAlpha(value);
this->Modified();
}
}
double GetAlpha()
{
ImageFilterType* tempFilter = dynamic_cast<ImageFilterType*>(this->m_Filter.GetPointer());
if (tempFilter)
{
return dynamic_cast<ObjectnessFilterType*>(tempFilter->GetHessianToMeasureFilter())->GetAlpha();
}
else
{
vtkErrorMacro ( << this->GetClassName() << " Error getting method. Dynamic cast returned 0" );
return 0.0;
}
}
void SetBeta(double value)
{
ImageFilterType* tempFilter = dynamic_cast<ImageFilterType*>(this->m_Filter.GetPointer());
if (tempFilter)
{
dynamic_cast<ObjectnessFilterType*>(tempFilter->GetHessianToMeasureFilter())->SetBeta(value);
this->Modified();
}
}
double GetBeta()
{
ImageFilterType* tempFilter = dynamic_cast<ImageFilterType*>(this->m_Filter.GetPointer());
if (tempFilter)
{
return dynamic_cast<ObjectnessFilterType*>(tempFilter->GetHessianToMeasureFilter())->GetBeta();
}
else
{
vtkErrorMacro ( << this->GetClassName() << " Error getting method. Dynamic cast returned 0" );
return 0.0;
}
}
void SetGamma(double value)
{
ImageFilterType* tempFilter = dynamic_cast<ImageFilterType*>(this->m_Filter.GetPointer());
if (tempFilter)
{
dynamic_cast<ObjectnessFilterType*>(tempFilter->GetHessianToMeasureFilter())->SetGamma(value);
this->Modified();
}
}
double GetGamma()
{
ImageFilterType* tempFilter = dynamic_cast<ImageFilterType*>(this->m_Filter.GetPointer());
if (tempFilter)
{
return dynamic_cast<ObjectnessFilterType*>(tempFilter->GetHessianToMeasureFilter())->GetGamma();
}
else
{
vtkErrorMacro ( << this->GetClassName() << " Error getting method. Dynamic cast returned 0" );
return 0.0;
}
}
protected:
//BTX
typedef itk::SymmetricSecondRankTensor<float,3> HessianPixelType;
typedef itk::Image<HessianPixelType,3> HessianImageType;
typedef itk::HessianToObjectnessMeasureImageFilter<HessianImageType,InputImageType> ObjectnessFilterType;
typedef itk::MultiScaleHessianBasedMeasureImageFilter<InputImageType,HessianImageType,InputImageType> ImageFilterType;
//typedef itk::HessianToObjectnessMeasureImageFilter<double,3> ObjectnessFilterType;
//typedef itk::MultiScaleHessianBasedMeasureImageFilter<Superclass::InputImageType,ObjectnessFilterType> ImageFilterType;
vtkvmtkVesselnessMeasureImageFilter() : Superclass(ImageFilterType::New())
{
ObjectnessFilterType::Pointer objectnessFilter = ObjectnessFilterType::New();
objectnessFilter->SetScaleObjectnessMeasure(false);
objectnessFilter->SetBrightObject(true);
objectnessFilter->SetObjectDimension(1);
ImageFilterType* imageFilter = this->GetImageFilterPointer();
imageFilter->SetSigmaStepMethodToEquispaced();
imageFilter->GenerateScalesOutputOn();
imageFilter->SetHessianToMeasureFilter(objectnessFilter);
}
~vtkvmtkVesselnessMeasureImageFilter() {};
ImageFilterType* GetImageFilterPointer() { return dynamic_cast<ImageFilterType*>(m_Filter.GetPointer()); }
//ETX
private:
vtkvmtkVesselnessMeasureImageFilter(const vtkvmtkVesselnessMeasureImageFilter&); // Not implemented.
void operator=(const vtkvmtkVesselnessMeasureImageFilter&); // Not implemented.
};
#endif
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