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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkVoronoiSegmentationRGBImageFilter.h,v $
Language: C++
Date: $Date: 2006-11-09 13:48:55 $
Version: $Revision: 1.34 $
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 _itkVoronoiSegmentationRGBImageFilter_h
#define _itkVoronoiSegmentationRGBImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkVoronoiSegmentationImageFilterBase.h"
#include "itkImage.h"
namespace itk
{
/** \class VoronoiSegmentationRGBImageFilter
*
* Segmentation of 2D RGB images using Voronoi Diagram.
* This is not a standard 3 channel image filter, it also investigates the
* HSV color space information. from RGBHSV, the user can specify or by giving
* a prior binary mask, the algorithm will decide which 3 channels out of the
* 6 channels will be used for homogeneity testing.
* the homogeneity testing requires all the three testing channels to have the
* similar mean and standard deviation value from the gold-standard in the sense that the
* difference will be under the tolerance value.
*
* Input parameters are:
* (1) Image data, in the format: itkImage<itkVector<PixelType,3>, 2>.
* (2) Object statistics: mean and standard deviation
* (3) Tolerance level for the classifier. This level is usually set
* around the mean and standard deviation values.
*
* These parameters can also be automatically set by providing a binary image prior.
*
* Detailed 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, Vol.24, pp 173-180, 2000.
*
*
* \ingroup HybridSegmentation
*/
template <class TInputImage, class TOutputImage>
class ITK_EXPORT VoronoiSegmentationRGBImageFilter:
public VoronoiSegmentationImageFilterBase<TInputImage,TOutputImage>
{
public:
/** Standard class typedefs. */
typedef VoronoiSegmentationRGBImageFilter Self;
typedef VoronoiSegmentationImageFilterBase<TInputImage,TOutputImage> Superclass;
typedef SmartPointer <Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro(VoronoiSegmentationRGBImageFilter,
VoronoiSegmentationImageFilterBase);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** 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::PixelType PixelType;
typedef typename Superclass::InputImagePointer InputImagePointer;
typedef typename Superclass::InputImageType InputImageType;
typedef Vector<float,6> RGBHCVPixel;
typedef Image<RGBHCVPixel> RGBHCVImage;
/** \todo Document. */
void SetMeanPercentError(double x[6]);
void SetSTDPercentError(double x[6]);
void GetMeanPercentError(double x[6]){for(int i=0;i<6;i++) x[i]=m_MeanPercentError[i];};
void GetSTDPercentError(double x[6]){for(int i=0;i<6;i++) x[i]=m_STDPercentError[i];};
void GetMean(double x[6]){for(int i=0;i<6;i++) x[i]=m_Mean[i];};
void GetSTD(double x[6]){for(int i=0;i<6;i++) x[i]=m_STD[i];};
void SetMean(double x[6]){for(int i=0;i<6;i++) m_Mean[i]=x[i];};
void SetSTD(double x[6]){for(int i=0;i<6;i++) m_STD[i]=x[i];};
void GetMeanTolerance(double x[6]){for(int i=0;i<6;i++) x[i]=m_MeanTolerance[i];};
void GetSTDTolerance(double x[6]){for(int i=0;i<6;i++) x[i]=m_STDTolerance[i];};
/** Maximum value of the RGB, needed for color space coversions.
* default as 8 bit per channel, if it is different, need to be
* set before doing anything. */
itkSetMacro(MaxValueOfRGB,double);
itkGetMacro(MaxValueOfRGB,double);
/** Set the three channels to test the mean and STD respectivley
* 0:red, 1:green, 2:blue, 3:hue, 4:chroma, 5:value. */
void SetTestMean(unsigned int t1,unsigned int t2,unsigned int t3){
m_TestMean[0] = t1;
m_TestMean[1] = t2;
m_TestMean[2] = t3;
}
void SetTestSTD(unsigned int t1,unsigned int t2,unsigned int t3){
m_TestSTD[0] = t1;
m_TestSTD[1] = t2;
m_TestSTD[2] = t3;
}
void GetTestMean(unsigned int x[3]){
x[0]=m_TestMean[0];x[1]=m_TestMean[1];x[2]=m_TestMean[2];
}
void GetTestSTD(unsigned int x[3]){
x[0]=m_TestSTD[0];x[1]=m_TestSTD[1];x[2]=m_TestSTD[2];
}
void TakeAPrior(const BinaryObjectImage* aprior);
virtual void SetInput(const InputImageType *input);
virtual void SetInput( unsigned int, const InputImageType * image);
/** 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:
VoronoiSegmentationRGBImageFilter();
~VoronoiSegmentationRGBImageFilter();
void PrintSelf(std::ostream& os, Indent indent) const;
private:
double m_Mean[6];
double m_STD[6];
double m_MeanTolerance[6];
double m_STDTolerance[6];
double m_MeanPercentError[6];
double m_STDPercentError[6];
double m_MaxValueOfRGB;
unsigned int m_TestMean[3];
unsigned int m_TestSTD[3];
typename RGBHCVImage::Pointer m_WorkingImage;
virtual bool TestHomogeneity(IndexList &Plist);
private:
VoronoiSegmentationRGBImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
};
}//end namespace
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkVoronoiSegmentationRGBImageFilter.txx"
#endif
#endif
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