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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkSampleToHistogramProjectionFilter.h,v $
Language: C++
Date: $Date: 2009-03-04 19:29:54 $
Version: $Revision: 1.6 $
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 __itkSampleToHistogramProjectionFilter_h
#define __itkSampleToHistogramProjectionFilter_h
#include "itkMacro.h"
#include "itkObject.h"
#include "itkSample.h"
#include "itkSubsample.h"
#include "itkHistogram.h"
#include "itkFunctionBase.h"
#include "itkSampleAlgorithmBase.h"
#include "itkArray.h"
namespace itk {
namespace Statistics {
/** \class SampleToHistogramProjectionFilter
* \brief projects measurement vectors on to an axis to generate an
* 1D histogram.
*
* Users should set the input sample, the output histogram, the mean of
* input sample, the standard deviation of the input sample, and the projection
* axis respectively using the SetInputSample, the SetHistogram, the SetMean,
* SetStandardDeviation, and SetProjectionAxis method before run this algorithm.
*
* If the bin overlap value is set by the SetHistogramBinOverlap method and
* greater than 0.001, the frequency will be weighted based on its closeness
* of the projected values.
*
* <b>Recent API changes:</b>
* The static const macro to get the length of a measurement vector,
* \c MeasurementVectorSize has been removed to allow the length of a
* measurement vector to be specified at run time. This is now obtained from
* the input sample. Typedefs for the Histogram mean \c MeanType etc have been
* changed to Array.
*/
template < class TInputSample, class THistogramMeasurement >
class ITK_EXPORT SampleToHistogramProjectionFilter :
public SampleAlgorithmBase< TInputSample >
{
public:
/** Standard class typedefs */
typedef SampleToHistogramProjectionFilter Self;
typedef SampleAlgorithmBase< TInputSample > Superclass;
typedef SmartPointer< Self > Pointer;
typedef const SmartPointer< Self > ConstPointer;
/** Run-time type information (and related methods) */
itkTypeMacro(SampleToHistogramProjectionFilter, SampleAlgorithmBase);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Enums and typedefs from the TInputSample */
typedef typename TInputSample::MeasurementVectorType MeasurementVectorType;
typedef typename TInputSample::MeasurementType MeasurementType;
typedef typename TInputSample::FrequencyType FrequencyType;
typedef typename TInputSample::InstanceIdentifier InstanceIdentifier;
/** typedefs from the superclass */
typedef typename Superclass::InputSampleType InputSampleType;
typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType;
/** 1D array typedef */
typedef Array< double > ArrayType;
/** The center of the histogram */
typedef Array< double > MeanType;
/** Type of the output object */
typedef Histogram< THistogramMeasurement, 1 > HistogramType;
/** Sets the output histogram */
virtual void SetHistogram(HistogramType* histogram);
/** Sets the mean of the sample */
void SetMean(MeanType* center);
/** Gets the mean of the sample */
MeanType* GetMean();
/** Sets the standard deviation of the sample */
void SetStandardDeviation(double* value);
/** Gets the standard deviation of the sample */
double* GetStandardDeviation();
/** Sets the projection axis */
void SetProjectionAxis(ArrayType* axis);
/** Gets the projection axis */
ArrayType* GetProjectionAxis();
/** Sets the overlap between adjacent bins.
* If this value is not set, then the overlap calculation
* will be skipped */
void SetHistogramBinOverlap(double overlap);
protected:
SampleToHistogramProjectionFilter();
virtual ~SampleToHistogramProjectionFilter() {}
void PrintSelf(std::ostream& os, Indent indent) const;
/** Calculates overlap weight for the bin based on
* closeness to the adjacent bins */
float CalculateOverlap(int binIndex,
float dotProduct,
float scale,
float marginalDistance,
bool firstHalf);
/** Runs this algorithm to fill the output histogram */
void GenerateData();
private:
SampleToHistogramProjectionFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
bool m_HistogramUseEquiProbableBins;
double m_HistogramBinOverlap;
MeanType* m_Mean;
ArrayType* m_ProjectionAxis;
double* m_StandardDeviation;
HistogramType* m_Histogram;
FrequencyType m_MinimumFrequency;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkSampleToHistogramProjectionFilter.txx"
#endif
#endif
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