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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkStatisticsImageFilter.h,v $
Language: C++
Date: $Date: 2007-01-28 18:49:10 $
Version: $Revision: 1.15 $
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 __itkStatisticsImageFilter_h
#define __itkStatisticsImageFilter_h
#include "itkImageToImageFilter.h"
#include "itkNumericTraits.h"
#include "itkArray.h"
#include "itkSimpleDataObjectDecorator.h"
namespace itk {
/** \class StatisticsImageFilter
* \brief Compute min. max, variance and mean of an Image.
*
* StatisticsImageFilter computes the minimum, maximum, sum, mean, variance
* sigma of an image. The filter needs all of its input image. It
* behaves as a filter with an input and output. Thus it can be inserted
* in a pipline with other filters and the statistics will only be
* recomputed if a downstream filter changes.
*
* The filter passes its input through unmodified. The filter is
* threaded. It computes statistics in each thread then combines them in
* its AfterThreadedGenerate method.
*
* \ingroup MathematicalStatisticsImageFilters
*/
template<class TInputImage>
class ITK_EXPORT StatisticsImageFilter :
public ImageToImageFilter<TInputImage, TInputImage>
{
public:
/** Standard Self typedef */
typedef StatisticsImageFilter Self;
typedef ImageToImageFilter<TInputImage,TInputImage> Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Runtime information support. */
itkTypeMacro(StatisticsImageFilter, ImageToImageFilter);
/** Image related typedefs. */
typedef typename TInputImage::Pointer InputImagePointer;
typedef typename TInputImage::RegionType RegionType;
typedef typename TInputImage::SizeType SizeType;
typedef typename TInputImage::IndexType IndexType;
typedef typename TInputImage::PixelType PixelType;
/** Image related typedefs. */
itkStaticConstMacro(ImageDimension, unsigned int,
TInputImage::ImageDimension );
/** Type to use for computations. */
typedef typename NumericTraits<PixelType>::RealType RealType;
/** Smart Pointer type to a DataObject. */
typedef typename DataObject::Pointer DataObjectPointer;
/** Type of DataObjects used for scalar outputs */
typedef SimpleDataObjectDecorator<RealType> RealObjectType;
typedef SimpleDataObjectDecorator<PixelType> PixelObjectType;
/** Return the computed Minimum. */
PixelType GetMinimum() const
{ return this->GetMinimumOutput()->Get(); }
PixelObjectType* GetMinimumOutput();
const PixelObjectType* GetMinimumOutput() const;
/** Return the computed Maximum. */
PixelType GetMaximum() const
{ return this->GetMaximumOutput()->Get(); }
PixelObjectType* GetMaximumOutput();
const PixelObjectType* GetMaximumOutput() const;
/** Return the computed Mean. */
RealType GetMean() const
{ return this->GetMeanOutput()->Get(); }
RealObjectType* GetMeanOutput();
const RealObjectType* GetMeanOutput() const;
/** Return the computed Standard Deviation. */
RealType GetSigma() const
{ return this->GetSigmaOutput()->Get(); }
RealObjectType* GetSigmaOutput();
const RealObjectType* GetSigmaOutput() const;
/** Return the computed Variance. */
RealType GetVariance() const
{ return this->GetVarianceOutput()->Get(); }
RealObjectType* GetVarianceOutput();
const RealObjectType* GetVarianceOutput() const;
/** Return the compute Sum. */
RealType GetSum() const
{ return this->GetSumOutput()->Get(); }
RealObjectType* GetSumOutput();
const RealObjectType* GetSumOutput() const;
/** Make a DataObject of the correct type to be used as the specified
* output. */
virtual DataObjectPointer MakeOutput(unsigned int idx);
#ifdef ITK_USE_CONCEPT_CHECKING
/** Begin concept checking */
itkConceptMacro(InputHasNumericTraitsCheck,
(Concept::HasNumericTraits<PixelType>));
/** End concept checking */
#endif
protected:
StatisticsImageFilter();
~StatisticsImageFilter(){};
void PrintSelf(std::ostream& os, Indent indent) const;
/** Pass the input through unmodified. Do this by Grafting in the
* AllocateOutputs method.
*/
void AllocateOutputs();
/** Initialize some accumulators before the threads run. */
void BeforeThreadedGenerateData ();
/** Do final mean and variance computation from data accumulated in threads.
*/
void AfterThreadedGenerateData ();
/** Multi-thread version GenerateData. */
void ThreadedGenerateData (const RegionType&
outputRegionForThread,
int threadId);
// Override since the filter needs all the data for the algorithm
void GenerateInputRequestedRegion();
// Override since the filter produces all of its output
void EnlargeOutputRequestedRegion(DataObject *data);
private:
StatisticsImageFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
Array<RealType> m_ThreadSum;
Array<RealType> m_SumOfSquares;
Array<long> m_Count;
Array<PixelType> m_ThreadMin;
Array<PixelType> m_ThreadMax;
}; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkStatisticsImageFilter.txx"
#endif
#endif
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