Observer to react on rigid registration optimizer events. More...

#include <mitkRigidRegistrationObserver.h>

Public Types
typedef RigidRegistrationObserver	Self
typedef itk::Command	Superclass
typedef itk::SmartPointer< Self >	Pointer
typedef itk::SingleValuedNonLinearOptimizer	OptimizerType
typedef OptimizerType *	OptimizerPointer
typedef itk::ExhaustiveOptimizer	ExhaustiveOptimizerType
typedef ExhaustiveOptimizerType *	ExhaustiveOptimizerPointer
typedef itk::GradientDescentOptimizer	GradientDescentOptimizerType
typedef GradientDescentOptimizerType *	GradientDescentOptimizerPointer
typedef itk::QuaternionRigidTransformGradientDescentOptimizer	QuaternionRigidTransformGradientDescentOptimizerType
typedef QuaternionRigidTransformGradientDescentOptimizerType *	QuaternionRigidTransformGradientDescentOptimizerPointer
typedef itk::LBFGSBOptimizer	LBFGSBOptimizerType
typedef LBFGSBOptimizerType *	LBFGSBOptimizerPointer
typedef itk::OnePlusOneEvolutionaryOptimizer	OnePlusOneEvolutionaryOptimizerType
typedef OnePlusOneEvolutionaryOptimizerType *	OnePlusOneEvolutionaryOptimizerPointer
typedef itk::PowellOptimizer	PowellOptimizerType
typedef PowellOptimizerType *	PowellOptimizerPointer
typedef itk::FRPROptimizer	FRPROptimizerType
typedef FRPROptimizerType *	FRPROptimizerPointer
typedef itk::RegularStepGradientDescentOptimizer	RegularStepGradientDescentOptimizerType
typedef RegularStepGradientDescentOptimizerType *	RegularStepGradientDescentOptimizerPointer
typedef itk::VersorRigid3DTransformOptimizer	VersorRigid3DTransformOptimizerType
typedef VersorRigid3DTransformOptimizerType *	VersorRigid3DTransformOptimizerPointer
typedef itk::VersorTransformOptimizer	VersorTransformOptimizerType
typedef VersorTransformOptimizerType *	VersorTransformOptimizerPointer
typedef itk::AmoebaOptimizer	AmoebaOptimizerType
typedef AmoebaOptimizerType *	AmoebaOptimizerPointer
typedef itk::ConjugateGradientOptimizer	ConjugateGradientOptimizerType
typedef ConjugateGradientOptimizerType *	ConjugateGradientOptimizerPointer
typedef itk::LBFGSOptimizer	LBFGSOptimizerType
typedef LBFGSOptimizerType *	LBFGSOptimizerPointer
typedef itk::SPSAOptimizer	SPSAOptimizerType
typedef SPSAOptimizerType *	SPSAOptimizerPointer
Public Member Functions
void	Execute (itk::Object *caller, const itk::EventObject &event)
	Reacts on events from ITK optimizers.
void	Execute (const itk::Object *object, const itk::EventObject &event)
	Not implemented...
void	AddStepsToDo (int steps)
	Add new steps to the progress bar.
void	SetRemainingProgress (int steps)
	Sets the remaining progress to the progress bar when the optimization process is done.
double	GetCurrentOptimizerValue ()
	Returns the current optimizer value. This value is calculated by the used metric and shows, how good the images are aligned.
itk::Array< double >	GetCurrentTranslation ()
	Returns the current transformation parameters for the moving image to this iteration step.
void	SetStopOptimization (bool stopOptimization)
	Sets the stop optimization flag, which is used to call the StopOptimization() method of the optimizer.
Static Public Member Functions
static Pointer	New ()
Protected Member Functions
	RigidRegistrationObserver ()

Detailed Description

Observer to react on rigid registration optimizer events.

See also:: ProgressBar

This class reacts on events sent by ITK optimizers. These events will be sent for every iteration the optimizer performs. This class also takes care for the progress bar for every iteration step.

The current optimizer values will be stored and a modified event will be sent to listeners registered to this observer. These listeners have the possibility to get the current optimizer parameters.

The optimization process can be stopped by setting stopOptimization to true. The optimization will be stopped after the next iteration step of the optimizer. Unfortunately this is not implemented for ExhaustiveOptimizer, LBFGSBOptimizer, AmoebaOptimizer, ConjugateGradientOptimizer and LBFGSOptimizer in ITK.

Author:: Daniel Stein

Definition at line 62 of file mitkRigidRegistrationObserver.h.

Member Typedef Documentation

typedef AmoebaOptimizerType* mitk::RigidRegistrationObserver::AmoebaOptimizerPointer

Definition at line 104 of file mitkRigidRegistrationObserver.h.

typedef itk::AmoebaOptimizer mitk::RigidRegistrationObserver::AmoebaOptimizerType

Definition at line 103 of file mitkRigidRegistrationObserver.h.

typedef ConjugateGradientOptimizerType* mitk::RigidRegistrationObserver::ConjugateGradientOptimizerPointer

Definition at line 107 of file mitkRigidRegistrationObserver.h.

typedef itk::ConjugateGradientOptimizer mitk::RigidRegistrationObserver::ConjugateGradientOptimizerType

Definition at line 106 of file mitkRigidRegistrationObserver.h.

typedef ExhaustiveOptimizerType* mitk::RigidRegistrationObserver::ExhaustiveOptimizerPointer

Definition at line 74 of file mitkRigidRegistrationObserver.h.

typedef itk::ExhaustiveOptimizer mitk::RigidRegistrationObserver::ExhaustiveOptimizerType

Definition at line 73 of file mitkRigidRegistrationObserver.h.

typedef FRPROptimizerType* mitk::RigidRegistrationObserver::FRPROptimizerPointer

Definition at line 92 of file mitkRigidRegistrationObserver.h.

typedef itk::FRPROptimizer mitk::RigidRegistrationObserver::FRPROptimizerType

Definition at line 91 of file mitkRigidRegistrationObserver.h.

typedef GradientDescentOptimizerType* mitk::RigidRegistrationObserver::GradientDescentOptimizerPointer

Definition at line 77 of file mitkRigidRegistrationObserver.h.

typedef itk::GradientDescentOptimizer mitk::RigidRegistrationObserver::GradientDescentOptimizerType

Definition at line 76 of file mitkRigidRegistrationObserver.h.

typedef LBFGSBOptimizerType* mitk::RigidRegistrationObserver::LBFGSBOptimizerPointer

Definition at line 83 of file mitkRigidRegistrationObserver.h.

typedef itk::LBFGSBOptimizer mitk::RigidRegistrationObserver::LBFGSBOptimizerType

Definition at line 82 of file mitkRigidRegistrationObserver.h.

typedef LBFGSOptimizerType* mitk::RigidRegistrationObserver::LBFGSOptimizerPointer

Definition at line 110 of file mitkRigidRegistrationObserver.h.

typedef itk::LBFGSOptimizer mitk::RigidRegistrationObserver::LBFGSOptimizerType

Definition at line 109 of file mitkRigidRegistrationObserver.h.

typedef OnePlusOneEvolutionaryOptimizerType* mitk::RigidRegistrationObserver::OnePlusOneEvolutionaryOptimizerPointer

Definition at line 86 of file mitkRigidRegistrationObserver.h.

typedef itk::OnePlusOneEvolutionaryOptimizer mitk::RigidRegistrationObserver::OnePlusOneEvolutionaryOptimizerType

Definition at line 85 of file mitkRigidRegistrationObserver.h.

typedef OptimizerType* mitk::RigidRegistrationObserver::OptimizerPointer

Definition at line 71 of file mitkRigidRegistrationObserver.h.

typedef itk::SingleValuedNonLinearOptimizer mitk::RigidRegistrationObserver::OptimizerType

Definition at line 68 of file mitkRigidRegistrationObserver.h.

typedef itk::SmartPointer<Self> mitk::RigidRegistrationObserver::Pointer

Definition at line 67 of file mitkRigidRegistrationObserver.h.

typedef PowellOptimizerType* mitk::RigidRegistrationObserver::PowellOptimizerPointer

Definition at line 89 of file mitkRigidRegistrationObserver.h.

typedef itk::PowellOptimizer mitk::RigidRegistrationObserver::PowellOptimizerType

Definition at line 88 of file mitkRigidRegistrationObserver.h.

typedef QuaternionRigidTransformGradientDescentOptimizerType* mitk::RigidRegistrationObserver::QuaternionRigidTransformGradientDescentOptimizerPointer

Definition at line 80 of file mitkRigidRegistrationObserver.h.

typedef itk::QuaternionRigidTransformGradientDescentOptimizer mitk::RigidRegistrationObserver::QuaternionRigidTransformGradientDescentOptimizerType

Definition at line 79 of file mitkRigidRegistrationObserver.h.

typedef RegularStepGradientDescentOptimizerType* mitk::RigidRegistrationObserver::RegularStepGradientDescentOptimizerPointer

Definition at line 95 of file mitkRigidRegistrationObserver.h.

typedef itk::RegularStepGradientDescentOptimizer mitk::RigidRegistrationObserver::RegularStepGradientDescentOptimizerType

Definition at line 94 of file mitkRigidRegistrationObserver.h.

typedef RigidRegistrationObserver mitk::RigidRegistrationObserver::Self

Definition at line 65 of file mitkRigidRegistrationObserver.h.

typedef SPSAOptimizerType* mitk::RigidRegistrationObserver::SPSAOptimizerPointer

Definition at line 113 of file mitkRigidRegistrationObserver.h.

typedef itk::SPSAOptimizer mitk::RigidRegistrationObserver::SPSAOptimizerType

Definition at line 112 of file mitkRigidRegistrationObserver.h.

typedef itk::Command mitk::RigidRegistrationObserver::Superclass

Definition at line 66 of file mitkRigidRegistrationObserver.h.

typedef VersorRigid3DTransformOptimizerType* mitk::RigidRegistrationObserver::VersorRigid3DTransformOptimizerPointer

Definition at line 98 of file mitkRigidRegistrationObserver.h.

typedef itk::VersorRigid3DTransformOptimizer mitk::RigidRegistrationObserver::VersorRigid3DTransformOptimizerType

Definition at line 97 of file mitkRigidRegistrationObserver.h.

typedef VersorTransformOptimizerType* mitk::RigidRegistrationObserver::VersorTransformOptimizerPointer

Definition at line 101 of file mitkRigidRegistrationObserver.h.

typedef itk::VersorTransformOptimizer mitk::RigidRegistrationObserver::VersorTransformOptimizerType

Definition at line 100 of file mitkRigidRegistrationObserver.h.

Constructor & Destructor Documentation

mitk::RigidRegistrationObserver::RigidRegistrationObserver ( ) [protected]

Definition at line 21 of file mitkRigidRegistrationObserver.cpp.

                                                         : m_OptimizerValue(0), m_StopOptimization(false)
{  
}

Member Function Documentation

void mitk::RigidRegistrationObserver::AddStepsToDo ( int steps )

Add new steps to the progress bar.

Definition at line 264 of file mitkRigidRegistrationObserver.cpp.

References mitk::ProgressBar::AddStepsToDo(), and mitk::ProgressBar::GetInstance().

{
  mitk::ProgressBar::GetInstance()->AddStepsToDo(steps);
}

void mitk::RigidRegistrationObserver::Execute	(	itk::Object *	caller,
		const itk::EventObject &	event
	)

Reacts on events from ITK optimizers.

Stores the optimizer values, adds progress to the progress bar and sends a stop flag to stop the optimization process if it is set in this class. Also emits a signal to inform listeners about new optimizer values.

Definition at line 25 of file mitkRigidRegistrationObserver.cpp.

References mitk::ProgressBar::AddStepsToDo(), mitk::ProgressBar::GetInstance(), MITK_INFO, and mitk::ProgressBar::Progress().

{
  if (typeid(event) == typeid(itk::IterationEvent))
  {
    OptimizerPointer optimizer = dynamic_cast<OptimizerPointer>(caller);
    ExhaustiveOptimizerPointer ExhaustiveOptimizer = dynamic_cast<ExhaustiveOptimizerPointer>(optimizer);
    GradientDescentOptimizerPointer GradientDescentOptimizer = dynamic_cast<GradientDescentOptimizerPointer>(optimizer);
    QuaternionRigidTransformGradientDescentOptimizerPointer QuaternionRigidTransformGradientDescentOptimizer = dynamic_cast<QuaternionRigidTransformGradientDescentOptimizerPointer>(optimizer);
    LBFGSBOptimizerPointer LBFGSBOptimizer = dynamic_cast<LBFGSBOptimizerPointer>(optimizer);
    OnePlusOneEvolutionaryOptimizerPointer OnePlusOneEvolutionaryOptimizer = dynamic_cast<OnePlusOneEvolutionaryOptimizerPointer>(optimizer);
    PowellOptimizerPointer PowellOptimizer = dynamic_cast<PowellOptimizerPointer>(optimizer);
    FRPROptimizerPointer FRPROptimizer = dynamic_cast<FRPROptimizerPointer>(optimizer);
    RegularStepGradientDescentOptimizerPointer RegularStepGradientDescentOptimizer = dynamic_cast<RegularStepGradientDescentOptimizerPointer>(optimizer);
    VersorRigid3DTransformOptimizerPointer VersorRigid3DTransformOptimizer = dynamic_cast<VersorRigid3DTransformOptimizerPointer>(optimizer);
    VersorTransformOptimizerPointer VersorTransformOptimizer = dynamic_cast<VersorTransformOptimizerPointer>(optimizer);
    AmoebaOptimizerPointer AmoebaOptimizer = dynamic_cast<AmoebaOptimizerPointer>(optimizer);
    ConjugateGradientOptimizerPointer ConjugateGradientOptimizer = dynamic_cast<ConjugateGradientOptimizerPointer>(optimizer);
    LBFGSOptimizerPointer LBFGSOptimizer = dynamic_cast<LBFGSOptimizerPointer>(optimizer);
    SPSAOptimizerPointer SPSAOptimizer = dynamic_cast<SPSAOptimizerPointer>(optimizer);
    if (ExhaustiveOptimizer != NULL)
    {
      m_OptimizerValue = ExhaustiveOptimizer->GetValue(ExhaustiveOptimizer->GetCurrentPosition());
      MITK_INFO << ExhaustiveOptimizer->GetValue(ExhaustiveOptimizer->GetCurrentPosition()) << "   "
               << ExhaustiveOptimizer->GetCurrentPosition() << std::endl;
      m_Params = ExhaustiveOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        //ExhaustiveOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (GradientDescentOptimizer != NULL)
    {
      m_OptimizerValue = GradientDescentOptimizer->GetValue();
      MITK_INFO << GradientDescentOptimizer->GetCurrentIteration() << "   "
               << GradientDescentOptimizer->GetValue() << "   "
               << GradientDescentOptimizer->GetCurrentPosition() << std::endl;
      m_Params = GradientDescentOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        GradientDescentOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (QuaternionRigidTransformGradientDescentOptimizer != NULL)
    {
      m_OptimizerValue = QuaternionRigidTransformGradientDescentOptimizer->GetValue();
      MITK_INFO << QuaternionRigidTransformGradientDescentOptimizer->GetCurrentIteration() << "   "
               << QuaternionRigidTransformGradientDescentOptimizer->GetValue() << "   "
               << QuaternionRigidTransformGradientDescentOptimizer->GetCurrentPosition() << std::endl;
      m_Params = QuaternionRigidTransformGradientDescentOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        QuaternionRigidTransformGradientDescentOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (LBFGSBOptimizer != NULL)
    {
      m_OptimizerValue = LBFGSBOptimizer->GetValue();
      MITK_INFO << LBFGSBOptimizer->GetCurrentIteration() << "   "
               << LBFGSBOptimizer->GetValue() << "   "
               << LBFGSBOptimizer->GetCurrentPosition() << std::endl;
      m_Params = LBFGSBOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        //LBFGSBOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (OnePlusOneEvolutionaryOptimizer != NULL)
    {
      m_OptimizerValue = OnePlusOneEvolutionaryOptimizer->GetValue();
      MITK_INFO << OnePlusOneEvolutionaryOptimizer->GetCurrentIteration() << "   "
               << OnePlusOneEvolutionaryOptimizer->GetValue() << "   "
               << OnePlusOneEvolutionaryOptimizer->GetCurrentPosition() << std::endl;
      m_Params = OnePlusOneEvolutionaryOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        OnePlusOneEvolutionaryOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (PowellOptimizer != NULL)
    {
      m_OptimizerValue = PowellOptimizer->GetValue();
      MITK_INFO << PowellOptimizer->GetCurrentIteration() << "   "
               << PowellOptimizer->GetValue() << "   "
               << PowellOptimizer->GetCurrentPosition() << std::endl;
      m_Params = PowellOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        PowellOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (FRPROptimizer != NULL)
    {
      m_OptimizerValue = FRPROptimizer->GetValue();
      MITK_INFO << FRPROptimizer->GetCurrentIteration() << "   "
               << FRPROptimizer->GetValue() << "   "
               << FRPROptimizer->GetCurrentPosition() << std::endl;
      m_Params = FRPROptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        FRPROptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (RegularStepGradientDescentOptimizer != NULL)
    {
      m_OptimizerValue = RegularStepGradientDescentOptimizer->GetValue();
      MITK_INFO << RegularStepGradientDescentOptimizer->GetCurrentIteration() << "   "
               << RegularStepGradientDescentOptimizer->GetValue() << "   "
               << RegularStepGradientDescentOptimizer->GetCurrentPosition() << std::endl;
      m_Params = RegularStepGradientDescentOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        RegularStepGradientDescentOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (VersorRigid3DTransformOptimizer != NULL)
    {
      m_OptimizerValue = VersorRigid3DTransformOptimizer->GetValue();
      MITK_INFO << VersorRigid3DTransformOptimizer->GetCurrentIteration() << "   "
               << VersorRigid3DTransformOptimizer->GetValue() << "   "
               << VersorRigid3DTransformOptimizer->GetCurrentPosition() << std::endl;
      m_Params = VersorRigid3DTransformOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        VersorRigid3DTransformOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (VersorTransformOptimizer != NULL)
    {
      m_OptimizerValue = VersorTransformOptimizer->GetValue();
      MITK_INFO << VersorTransformOptimizer->GetCurrentIteration() << "   "
               << VersorTransformOptimizer->GetValue() << "   "
               << VersorTransformOptimizer->GetCurrentPosition() << std::endl;
      m_Params = VersorTransformOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        VersorTransformOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (AmoebaOptimizer != NULL)
    {
      m_OptimizerValue = AmoebaOptimizer->GetCachedValue();
      MITK_INFO << AmoebaOptimizer->GetCachedValue() << "   "
               << AmoebaOptimizer->GetCachedCurrentPosition() << std::endl;
      m_Params = AmoebaOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        //AmoebaOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (ConjugateGradientOptimizer != NULL)
    {
      m_OptimizerValue = ConjugateGradientOptimizer->GetValue();
      MITK_INFO << ConjugateGradientOptimizer->GetCurrentIteration() << "   "
               << ConjugateGradientOptimizer->GetValue() << "   "
               << ConjugateGradientOptimizer->GetCurrentPosition() << std::endl;
      m_Params = ConjugateGradientOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        //ConjugateGradientOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (LBFGSOptimizer != NULL)
    {
      if(m_StopOptimization)
      {
        //LBFGSOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      //m_OptimizerValue = LBFGSOptimizer->GetValue();
      /*MITK_INFO << LBFGSOptimizer->GetCurrentIteration() << "   ";
      MITK_INFO << LBFGSOptimizer->GetValue() << "   ";
      MITK_INFO << LBFGSOptimizer->GetInfinityNormOfProjectedGradient() << std::endl;*/
      InvokeEvent(itk::ModifiedEvent());
    }
    else if (SPSAOptimizer != NULL)
    {
      m_OptimizerValue = SPSAOptimizer->GetValue();
      MITK_INFO << SPSAOptimizer->GetCurrentIteration() << "   "
               << SPSAOptimizer->GetValue() << "   "
               << SPSAOptimizer->GetCurrentPosition() << std::endl;
      m_Params = SPSAOptimizer->GetCurrentPosition();
      if(m_StopOptimization)
      {
        SPSAOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
  }
  else if (typeid(event) == typeid(itk::FunctionEvaluationIterationEvent))
  {
    OptimizerPointer optimizer = dynamic_cast<OptimizerPointer>(caller);
    AmoebaOptimizerPointer AmoebaOptimizer = dynamic_cast<AmoebaOptimizerPointer>(optimizer);
    if (AmoebaOptimizer != NULL)
    {
      m_OptimizerValue = AmoebaOptimizer->GetCachedValue();
      MITK_INFO << AmoebaOptimizer->GetCachedValue() << "   "
               << AmoebaOptimizer->GetCachedCurrentPosition() << std::endl;
      m_Params = AmoebaOptimizer->GetCachedCurrentPosition();
      if(m_StopOptimization)
      {
        //AmoebaOptimizer->StopOptimization();
        m_StopOptimization = false;
      }
      InvokeEvent(itk::ModifiedEvent());
    }
  }
  mitk::ProgressBar::GetInstance()->AddStepsToDo(1);
  mitk::ProgressBar::GetInstance()->Progress();
}

void mitk::RigidRegistrationObserver::Execute	(	const itk::Object *	object,
		const itk::EventObject &	event
	)

Not implemented...

Definition at line 260 of file mitkRigidRegistrationObserver.cpp.

{
}

double mitk::RigidRegistrationObserver::GetCurrentOptimizerValue ( )

Returns the current optimizer value. This value is calculated by the used metric and shows, how good the images are aligned.

Definition at line 274 of file mitkRigidRegistrationObserver.cpp.

{
  return m_OptimizerValue;
}

itk::Array< double > mitk::RigidRegistrationObserver::GetCurrentTranslation ( )

Returns the current transformation parameters for the moving image to this iteration step.

These can include parameters for translation, scaling, rotation and shearing.

Definition at line 279 of file mitkRigidRegistrationObserver.cpp.

{
  return m_Params;
}

static Pointer mitk::RigidRegistrationObserver::New ( ) [static]

Referenced by QmitkRigidRegistrationSelectorView::QmitkRigidRegistrationSelectorView(), and mitk::BSplineRegistration::SetSaveResult().

void mitk::RigidRegistrationObserver::SetRemainingProgress ( int steps )

Sets the remaining progress to the progress bar when the optimization process is done.

Definition at line 269 of file mitkRigidRegistrationObserver.cpp.

References mitk::ProgressBar::GetInstance(), and mitk::ProgressBar::Progress().

{
  mitk::ProgressBar::GetInstance()->Progress(steps);
}

void mitk::RigidRegistrationObserver::SetStopOptimization ( bool stopOptimization )

Sets the stop optimization flag, which is used to call the StopOptimization() method of the optimizer.

Unfortunately it is not implemented for ExhaustiveOptimizer, LBFGSBOptimizer, AmoebaOptimizer, ConjugateGradientOptimizer and LBFGSOptimizer in ITK.

Definition at line 286 of file mitkRigidRegistrationObserver.cpp.

{
  m_StopOptimization = stopOptimization;
}

The documentation for this class was generated from the following files:

mitk::RigidRegistrationObserver Class Reference [Classes related to rigid registration]

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

mitk::RigidRegistrationObserver Class Reference
[Classes related to rigid registration]