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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#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
* \ingroup ITKImageStatistics
*
* \wiki
* \wikiexample{Statistics/StatisticsImageFilter,Compute min\, max\, variance and mean of an Image.}
* \endwiki
*/
template< typename TInputImage >
class ITK_TEMPLATE_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. */
typedef ProcessObject::DataObjectPointerArraySizeType DataObjectPointerArraySizeType;
using Superclass::MakeOutput;
virtual DataObjectPointer MakeOutput(DataObjectPointerArraySizeType idx) ITK_OVERRIDE;
#ifdef ITK_USE_CONCEPT_CHECKING
// Begin concept checking
itkConceptMacro( InputHasNumericTraitsCheck,
( Concept::HasNumericTraits< PixelType > ) );
// End concept checking
#endif
protected:
StatisticsImageFilter();
~StatisticsImageFilter() ITK_OVERRIDE {}
void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** Pass the input through unmodified. Do this by Grafting in the
* AllocateOutputs method.
*/
void AllocateOutputs() ITK_OVERRIDE;
/** Initialize some accumulators before the threads run. */
void BeforeThreadedGenerateData() ITK_OVERRIDE;
/** Do final mean and variance computation from data accumulated in threads.
*/
void AfterThreadedGenerateData() ITK_OVERRIDE;
/** Multi-thread version GenerateData. */
void ThreadedGenerateData(const RegionType &
outputRegionForThread,
ThreadIdType threadId) ITK_OVERRIDE;
// Override since the filter needs all the data for the algorithm
void GenerateInputRequestedRegion() ITK_OVERRIDE;
// Override since the filter produces all of its output
void EnlargeOutputRequestedRegion(DataObject *data) ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(StatisticsImageFilter);
Array< RealType > m_ThreadSum;
Array< RealType > m_SumOfSquares;
Array< SizeValueType > m_Count;
Array< PixelType > m_ThreadMin;
Array< PixelType > m_ThreadMax;
}; // end of class
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkStatisticsImageFilter.hxx"
#endif
#endif
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