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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkVectorThresholdSegmentationLevelSetImageFilter.h,v $
Language: C++
Date: $Date: 2004-06-01 18:33:45 $
Version: $Revision: 1.5 $
Copyright (c) Insight Software Consortium. All rights reserved.
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.
=========================================================================*/
#ifndef __itkVectorThresholdSegmentationLevelSetImageFilter_h_
#define __itkVectorThresholdSegmentationLevelSetImageFilter_h_
#include "itkSegmentationLevelSetImageFilter.h"
#include "itkVectorThresholdSegmentationLevelSetFunction.h"
namespace itk {
/** \class VectorThresholdSegmentationLevelSetImageFilter
* \brief Segments structures in images based on intensity values.
*
* \par IMPORTANT
* The SegmentationLevelSetImageFilter class and the
* VectorThresholdSegmentationLevelSetFunction class contain additional information necessary
* to the full understanding of how to use this filter.
*
* \par CREDITS
* This class was contributed to ITK by Stefan Lindenau
* http://www.itk.org/pipermail/insight-users/2003-December/005969.html
*
* \par OVERVIEW
* This class is a level set method segmentation filter. It constructs a
* speed function which is close to zero where the Mahalabonian Distance
* exceeds a certain threshold, effectively locking the propagating front onto those
* edges. Elsewhere, the front will propagate quickly.
*
* \par INPUTS
* This filter requires two inputs. The first input is a seed
* image. This seed image must contain an isosurface that you want to use as the
* seed for your segmentation. It can be a binary, graylevel, or floating
* point image. The only requirement is that it contain a closed isosurface
* that you will identify as the seed by setting the IsosurfaceValue parameter
* of the filter. For a binary image you will want to set your isosurface
* value halfway between your on and off values (i.e. for 0's and 1's, use an
* isosurface value of 0.5).
*
* \par
* The second input is the feature image. This is the image from which the
* speed function will be calculated the feature image has to be a Vector Image.
* For most applications, this is the
* image that you want to segment. The desired isosurface in your seed image
* should lie within the region of your feature image that you are trying to
* segment. Note that this filter does no preprocessing of the feature image
* before thresholding.
*
* \par
* See SegmentationLevelSetImageFilter for more information on Inputs.
*
* \par OUTPUTS
* The filter outputs a single, scalar, real-valued image.
* Positive values in the output image are inside the segmentated region
* and negative values in the image are outside of the inside region. The
* zero crossings of the image correspond to the position of the level set
* front.
*
* \par
* See SparseFieldLevelSetImageFilter and
* SegmentationLevelSetImageFilter for more information.
*
* \par PARAMETERS
* In addition to parameters described in SegmentationLevelSetImageFilter,
* this filter adds the Threshold, the Mean and the Covariance. See
* VectorThresholdSegmentationLevelSetFunction for a description of how this value
* affect the segmentation.
*
* \sa SegmentationLevelSetImageFilter
* \sa ThresholdSegmentationLevelSetFunction,
* \sa SparseFieldLevelSetImageFilter */
template <class TInputImage,
class TFeatureImage,
class TOutputPixelType = float >
class ITK_EXPORT VectorThresholdSegmentationLevelSetImageFilter
: public SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType >
{
public:
/** Standard class typedefs */
typedef VectorThresholdSegmentationLevelSetImageFilter Self;
typedef SegmentationLevelSetImageFilter<TInputImage, TFeatureImage, TOutputPixelType> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Inherited typedef from the superclass. */
typedef typename Superclass::ValueType ValueType;
typedef typename Superclass::OutputImageType OutputImageType;
typedef typename Superclass::FeatureImageType FeatureImageType;
/** Type of the segmentation function */
typedef VectorThresholdSegmentationLevelSetFunction<OutputImageType,FeatureImageType> ThresholdFunctionType;
typedef typename ThresholdFunctionType::Pointer ThresholdFunctionPointer;
typedef typename ThresholdFunctionType::MeanVectorType MeanVectorType;
typedef typename ThresholdFunctionType::CovarianceMatrixType CovarianceMatrixType;
typedef typename ThresholdFunctionType::ScalarValueType ScalarValueType;
/** Run-time type information (and related methods). */
itkTypeMacro(VectorThresholdSegmentationLevelSetImageFilter, SegmentationLevelSetImageFilter);
/** Method for creation through the object factory */
itkNewMacro(Self);
/** Set/Get mean and covariance that will be used to calculate the speed function */
void SetMean(const MeanVectorType &mean)
{
m_ThresholdFunction->SetMean(mean);
this->Modified();
}
const MeanVectorType & GetMean() const
{
return m_ThresholdFunction->GetMean();
}
void SetCovariance(const CovarianceMatrixType &cov)
{
m_ThresholdFunction->SetCovariance(cov);
this->Modified();
}
const CovarianceMatrixType & GetCovariance() const
{
return m_ThresholdFunction->GetCovariance();
}
/** Set/Get the threshold for the Mahanalobis Distance */
void SetThreshold(ScalarValueType thr)
{
m_ThresholdFunction->SetThreshold(thr);
this->Modified();
}
ScalarValueType GetThreshold ()
{
return m_ThresholdFunction->GetThreshold();
}
protected:
~VectorThresholdSegmentationLevelSetImageFilter() {}
VectorThresholdSegmentationLevelSetImageFilter();
virtual void PrintSelf(std::ostream &os, Indent indent) const;
VectorThresholdSegmentationLevelSetImageFilter(const Self &); // purposely not impl.
void operator=(const Self&); //purposely not implemented
private:
ThresholdFunctionPointer m_ThresholdFunction;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkVectorThresholdSegmentationLevelSetImageFilter.txx"
#endif
#endif
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