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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkVoronoiSegmentationImageFilter.h,v $
Language: C++
Date: $Date: 2006-09-08 19:08:06 $
Version: $Revision: 1.33 $
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 _itkVoronoiSegmentationImageFilter_h
#define _itkVoronoiSegmentationImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkVoronoiSegmentationImageFilterBase.h"
#include "itkImage.h"
namespace itk
{
/** \class VoronoiSegmentationImageFilter
*
* Perform the segmentation of 2D images (single channel) by Voronoi Diagram.
* Used as a node of the segmentation toolkits.
* The homogeneity operator here is the testing of mean and standar deviation value.
* By setting the tolerance level, the "internal" region was defined as those
* that is closed to the gold-standard value in the sense that the difference
* is within the tolerance value.
*
* See VoronoiSegmentationImageFilterBase for detail description of voronoi
* segmenation principles.
*
* The parameters here are:
* 1. the estimation of the statistics of the object. (mean and std.)
* 2. the tolerance for the classification. (around the mean ans std. estimated value).
*
* The parameters can also be automatically set by given a prior, as a binary
* image.
*
* Detail information about this algorithm can be found in:
* " Semi-automated color segmentation of anatomical tissue,"
* C. Imelinska, M. Downes, and W. Yuan
* Computerized Medical Imaging and Graphics, Vor.24, pp 173-180, 2000.
*
* \ingroup HybridSegmentation
*/
template <class TInputImage, class TOutputImage, class TBinaryPriorImage=Image<unsigned char,2> >
class ITK_EXPORT VoronoiSegmentationImageFilter:
public VoronoiSegmentationImageFilterBase<TInputImage,TOutputImage, TBinaryPriorImage>
{
public:
/** Standard class typedefs. */
typedef VoronoiSegmentationImageFilter Self;
typedef VoronoiSegmentationImageFilterBase<TInputImage,TOutputImage
,TBinaryPriorImage> Superclass;
typedef SmartPointer <Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(VoronoiSegmentationImageFilter,
VoronoiSegmentationImageFilterBase);
/** Convenient typedefs. */
typedef typename Superclass::BinaryObjectImage BinaryObjectImage;
typedef typename Superclass::IndexList IndexList;
typedef typename Superclass::IndexType IndexType;
typedef typename Superclass::RegionType RegionType;
typedef typename Superclass::InputImageType InputImageType;
/** Set/Get the Estimation of the mean pixel value for the object. */
itkSetMacro(Mean, double);
itkGetMacro(Mean, double);
/** Set/Get the estimation of the STD of the pixel value for the
* object. */
itkSetMacro(STD, double);
itkGetMacro(STD, double);
/** Set/Get the Tolearance of Mean for classifying the regions. */
itkSetMacro(MeanTolerance, double);
itkGetMacro(MeanTolerance, double);
/** Set the Tolearance of STD for classifying the regions. */
itkSetMacro(STDTolerance, double);
/** Get the Tolearance of Variance for classifying the regions. */
itkGetMacro(STDTolerance, double);
/** Set/Get the mean percent error. */
void SetMeanPercentError(double x);
itkGetMacro(MeanPercentError, double);
/** Set/Get the STD percent error. */
itkGetMacro(STDPercentError, double);
void SetSTDPercentError(double x);
/** Take a prior from other segmentation node, should be an
* binary object. */
void TakeAPrior(const BinaryObjectImage* aprior);
/** ImageDimension enumeration */
itkStaticConstMacro(InputImageDimension, unsigned int,
TInputImage::ImageDimension );
itkStaticConstMacro(OutputImageDimension, unsigned int,
TOutputImage::ImageDimension );
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(SameDimensionCheck,
(Concept::SameDimension<InputImageDimension, OutputImageDimension>));
itkConceptMacro(IntConvertibleToOutputCheck,
(Concept::Convertible<int, typename TOutputImage::PixelType>));
/** End concept checking */
#endif
protected:
VoronoiSegmentationImageFilter();
~VoronoiSegmentationImageFilter();
virtual void PrintSelf(std::ostream& os, Indent indent) const;
private:
double m_Mean;
double m_STD;
double m_MeanTolerance;
double m_STDTolerance;
double m_MeanPercentError;
double m_STDPercentError;
virtual bool TestHomogeneity(IndexList &Plist);
private:
VoronoiSegmentationImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
};
}//end namespace
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkVoronoiSegmentationImageFilter.txx"
#endif
#endif
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