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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 itkDenseFrequencyContainer2_h
#define itkDenseFrequencyContainer2_h
#include <map>
#include "itkValarrayImageContainer.h"
#include "itkMeasurementVectorTraits.h"
#include "ITKStatisticsExport.h"
namespace itk
{
namespace Statistics
{
/** \class DenseFrequencyContainer2
* \brief This class is a container for frequencies of bins in an histogram.
*
* This class uses the ValarrayImageContainer class to store
* frequencies. If the histogram has many zero frequency bins.
* use SparseFrequencyContainer. You should access each bin
* by (InstanceIdentifier)index or measurement vector.
*
* \sa Histogram, SparseFrequencyContainer
* \ingroup ITKStatistics
*/
class ITKStatistics_EXPORT DenseFrequencyContainer2:
public Object
{
public:
/** Standard class typedefs */
typedef DenseFrequencyContainer2 Self;
typedef Object Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Run-time type information (and related methods). */
itkTypeMacro(DenseFrequencyContainer2, Object);
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** InstanceIdenfitifer type alias */
typedef MeasurementVectorTraits::InstanceIdentifier InstanceIdentifier;
/** Absoluate Frequency type alias */
typedef MeasurementVectorTraits::AbsoluteFrequencyType AbsoluteFrequencyType;
/** Absolute Total frequency type */
typedef MeasurementVectorTraits::TotalAbsoluteFrequencyType TotalAbsoluteFrequencyType;
/** Relative Frequency type alias */
typedef MeasurementVectorTraits::RelativeFrequencyType RelativeFrequencyType;
/** Relative Total frequency type */
typedef MeasurementVectorTraits::TotalRelativeFrequencyType TotalRelativeFrequencyType;
/** Internal storage class typedefs */
typedef ValarrayImageContainer< InstanceIdentifier, AbsoluteFrequencyType >
FrequencyContainerType;
typedef FrequencyContainerType::Pointer FrequencyContainerPointer;
/** Calls the Initialize method of superclass to generate the offset table
* and prepare the frequency container */
void Initialize(SizeValueType length);
/** Calls the SetToZero method of superclass to initialize all the bins to Zero.
* This should be done before starting to call the IncreaseFrequency method. */
void SetToZero();
/** Sets the frequency of histogram using instance identifier. It returns
* false when the Id is out of bounds. */
bool SetFrequency(const InstanceIdentifier id, const AbsoluteFrequencyType value);
/** Increases the frequency of a bin specified by the InstanceIdentifier by
* one. This function is convinient to create a histogram. It returns false
* when the bin id is out of bounds. */
bool IncreaseFrequency(const InstanceIdentifier id,
const AbsoluteFrequencyType value);
/** Method to get the frequency of a bin from the histogram. It returns zero
* when the Id is out of bounds. */
AbsoluteFrequencyType GetFrequency(const InstanceIdentifier id) const;
/** Gets the sum of the frequencies */
TotalAbsoluteFrequencyType GetTotalFrequency()
{
return m_TotalFrequency;
}
protected:
DenseFrequencyContainer2();
virtual ~DenseFrequencyContainer2() ITK_OVERRIDE {}
virtual void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
private:
ITK_DISALLOW_COPY_AND_ASSIGN(DenseFrequencyContainer2);
/** Internal storage */
FrequencyContainerPointer m_FrequencyContainer;
TotalAbsoluteFrequencyType m_TotalFrequency;
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#endif
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