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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 itkHistogram_h
#define itkHistogram_h
#include <vector>
#include "itkArray.h"
#include "itkSample.h"
#include "itkDenseFrequencyContainer2.h"
#include "itkSparseFrequencyContainer2.h"
namespace itk
{
namespace Statistics
{
/**
* \class Histogram
* \brief This class stores measurement vectors in the context of n-dimensional histogram.
*
* Histogram represents an ND histogram. Histogram bins can be
* regularly or irregularly spaced. The storage for the histogram is
* managed via the FrequencyContainer specified by the template
* argument. The default frequency container is a
* DenseFrequencyContainer. A SparseFrequencyContainer can be used as
* an alternative.
*
* Frequencies of a bin (SetFrequency(), IncreaseFrequency()) can be
* specified by measurement, index, or instance identifier.
*
* Measurements can be queried by bin index or instance
* identifier. In this case, the measurement returned is the centroid
* of the histogram bin.
*
* The Initialize() method is used to specify the number of bins for
* each dimension of the histogram. An overloaded version also allows
* for regularly spaced bins to defined. To define irregularly sized
* bins, use the SetBinMin()/SetBinMax() methods.
*
* If you do not know the length of the measurement vector at compile time, you
* should use the VariableDimensionHistogram class, instead of the Histogram
* class.
*
* If you know the length of the measurement vector at compile time, it can
* conveniently be obtained from MeasurementVectorTraits. For instance,
* instantiate a histogram as below:
*
\code
using HistogramType = Histogram< THistogramMeasurement, typename TFrequencyContainer >;
\endcode
*
* \sa Sample, DenseFrequencyContainer, SparseFrequencyContainer, VariableDimensionHistogram
* \ingroup ITKStatistics
*
* \sphinx
* \sphinxexample{Numerics/Statistics/HistogramCreationAndBinAccess,Histogram Creation And Bin Access}
* \endsphinx
*/
template <typename TMeasurement = float, typename TFrequencyContainer = DenseFrequencyContainer2>
class ITK_TEMPLATE_EXPORT Histogram : public Sample<Array<TMeasurement>>
{
public:
ITK_DISALLOW_COPY_AND_MOVE(Histogram);
// This type serves as the indirect definition of MeasurementVectorType
using ArrayType = Array<TMeasurement>;
/** Standard type alias */
using Self = Histogram;
using Superclass = Sample<ArrayType>;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(Histogram);
/** standard New() method support */
itkNewMacro(Self);
/** type of an element of a measurement vector */
using MeasurementType = TMeasurement;
/** Common sample class type alias */
using typename Superclass::MeasurementVectorType;
using typename Superclass::InstanceIdentifier;
using typename Superclass::MeasurementVectorSizeType;
using ValueType = MeasurementVectorType;
/** frequency container type alias */
using FrequencyContainerType = TFrequencyContainer;
using FrequencyContainerPointer = typename FrequencyContainerType::Pointer;
/** Frequency and TotalFrequency value type from superclass */
using AbsoluteFrequencyType = typename FrequencyContainerType::AbsoluteFrequencyType;
using TotalAbsoluteFrequencyType = typename FrequencyContainerType::TotalAbsoluteFrequencyType;
using RelativeFrequencyType = typename FrequencyContainerType::RelativeFrequencyType;
using TotalRelativeFrequencyType = typename FrequencyContainerType::TotalRelativeFrequencyType;
/** Index type alias support An index is used to access pixel values. */
using IndexType = Array<itk::IndexValueType>;
using IndexValueType = typename IndexType::ValueType;
/** size array type */
using SizeType = Array<itk::SizeValueType>;
using SizeValueType = typename SizeType::ValueType;
/** bin min max value storage types */
using BinMinVectorType = std::vector<MeasurementType>;
using BinMaxVectorType = std::vector<MeasurementType>;
using BinMinContainerType = std::vector<BinMinVectorType>;
using BinMaxContainerType = std::vector<BinMaxVectorType>;
/** Initialize the histogram, generating the offset table and
* preparing the frequency container. Subclasses should call this
* method in their Initialize() method. */
void
Initialize(const SizeType & size);
/** Initialize the histogram using equal size bins. To assign bin's
* min and max values along each dimension use SetBinMin() and
* SetBinMax() functions. */
void
Initialize(const SizeType & size, MeasurementVectorType & lowerBound, MeasurementVectorType & upperBound);
/** Initialize the values of the histogram bins to zero */
void
SetToZero();
/** Get the index of histogram corresponding to the specified
* measurement value. Returns true if index is valid and false if
* the measurement is outside the histogram */
bool
GetIndex(const MeasurementVectorType & measurement, IndexType & index) const;
/** Get the index that is uniquely labelled by an instance identifier
* The corresponding id is the offset of the index
* This method uses ImageBase::ComputeIndex() method */
const IndexType &
GetIndex(InstanceIdentifier id) const;
/** Set/Get whether the bins at the edges of the histogram extend to +/- infinity. */
itkGetConstMacro(ClipBinsAtEnds, bool);
itkSetMacro(ClipBinsAtEnds, bool);
itkBooleanMacro(ClipBinsAtEnds);
/** Returns true if the given index is out of bound meaning one of index
* is not between [0, last index] */
bool
IsIndexOutOfBounds(const IndexType & index) const;
/** Get the instance identifier of the bin that is indexed by the
* index. The corresponding instance identifier is the offset of the index
* This method uses ImageBase::ComputeIndex() method */
InstanceIdentifier
GetInstanceIdentifier(const IndexType & index) const;
/** Returns the number of instances (bins or cells) in this container */
InstanceIdentifier
Size() const override;
/** Get the size (N-dimensional) of the histogram */
const SizeType &
GetSize() const;
/** Get the size of histogram along a specified dimension */
SizeValueType
GetSize(unsigned int dimension) const;
/** Get the minimum value of nth bin of dimension d */
const MeasurementType &
GetBinMin(unsigned int dimension, InstanceIdentifier nbin) const;
/** Get the maximum value of nth bin of dimension d */
const MeasurementType &
GetBinMax(unsigned int dimension, InstanceIdentifier nbin) const;
/** Set the minimum value of nth bin of dimension d */
void
SetBinMin(unsigned int dimension, InstanceIdentifier nbin, MeasurementType min);
/** Set the maximum value of nth bin of dimension d */
void
SetBinMax(unsigned int dimension, InstanceIdentifier nbin, MeasurementType max);
/** Get the minimum of the bin along dimension d corresponding to a
* particular measurement. */
const MeasurementType &
GetBinMinFromValue(unsigned int dimension, float value) const;
/** Get the maximum of the bin along dimension d corresponding to a
* particular measurement. */
const MeasurementType &
GetBinMaxFromValue(unsigned int dimension, float value) const;
/** Get the vector of bin minimums along a dimension */
const BinMinVectorType &
GetDimensionMins(unsigned int dimension) const;
/** Get the vector of maximums along a dimension */
const BinMaxVectorType &
GetDimensionMaxs(unsigned int dimension) const;
/** Get the minimums of the bins */
const BinMinContainerType &
GetMins() const;
/** Method the maximums of the bins */
const BinMaxContainerType &
GetMaxs() const;
/** Get the minimums of the bin corresponding to a particular index */
const MeasurementVectorType &
GetHistogramMinFromIndex(const IndexType & index) const;
/** Get the maximums of the bin corresponding to a particular index */
const MeasurementVectorType &
GetHistogramMaxFromIndex(const IndexType & index) const;
/** Get the frequency of an instance identifier */
AbsoluteFrequencyType
GetFrequency(InstanceIdentifier id) const override;
/** Get the frequency of an index */
AbsoluteFrequencyType
GetFrequency(const IndexType & index) const;
/** Set all the bins in the histogram to a specified frequency */
void
SetFrequency(AbsoluteFrequencyType value);
/** Set the frequency of an instance identifier. Returns false if the bin is
* out of bounds. */
bool
SetFrequency(InstanceIdentifier id, AbsoluteFrequencyType value);
/** Set the frequency of an index. Returns false if the bin is
* out of bounds. */
bool
SetFrequencyOfIndex(const IndexType & index, AbsoluteFrequencyType value);
/** Set the frequency of a measurement. Returns false if the bin is
* out of bounds. */
bool
SetFrequencyOfMeasurement(const MeasurementVectorType & measurement, AbsoluteFrequencyType value);
/** Increase the frequency of an instance identifier.
* Frequency is increased by the specified value. Returns false if
* the bin is out of bounds. */
bool
IncreaseFrequency(InstanceIdentifier id, AbsoluteFrequencyType value);
/** Increase the frequency of an index. Frequency is
* increased by the specified value. Returns false if the bin is out
* of bounds. */
bool
IncreaseFrequencyOfIndex(const IndexType & index, AbsoluteFrequencyType value);
/** Increase the frequency of a measurement. Frequency is
* increased by the specified value. Returns false if the
* measurement is outside the bounds of the histogram.
*
* \warning This function performs a dynamic allocation for the
* index length, and should not be used in tight per-pixel loops.
*/
bool
IncreaseFrequencyOfMeasurement(const MeasurementVectorType & measurement, AbsoluteFrequencyType value);
/** Get the measurement of an instance identifier. This is the
* centroid of the bin.
*/
const MeasurementVectorType &
GetMeasurementVector(InstanceIdentifier id) const override;
/** Get the measurement of an index. This is the centroid of the bin. */
const MeasurementVectorType &
GetMeasurementVector(const IndexType & index) const;
/** Get the measurement a bin along a specified dimension. This is
* the midpoint of the bin along that dimension. */
MeasurementType
GetMeasurement(InstanceIdentifier n, unsigned int dimension) const;
/** Get the total frequency in the histogram */
TotalAbsoluteFrequencyType
GetTotalFrequency() const override;
/** Get the frequency of a dimension's nth element. */
AbsoluteFrequencyType
GetFrequency(InstanceIdentifier n, unsigned int dimension) const;
/** Get the pth percentile value for a dimension.
*
* Let assume n = the index of the bin where the p-th percentile value is,
* min = min value of the dimension of the bin,
* max = max value of the dimension of the bin,
* interval = max - min ,
* pp = accumulated proportion until n-1 bin;
* and pb = frequency of the bin / total frequency of the dimension.
*
* If p is less than 0.5,
* the percentile value =
* min + ((p - pp ) / pb) * interval
* If p is greater than or equal to 0.5
* the percentile value =
* max - ((pp - p) / pb) * interval */
double
Quantile(unsigned int dimension, double p) const;
/** Get the mean value for a dimension */
double
Mean(unsigned int dimension) const;
/** Method to graft another histogram's output */
void
Graft(const DataObject *) override;
protected:
void
PrintSelf(std::ostream & os, Indent indent) const override;
public:
/**
* \class ConstIterator
* \brief class that walks through the elements of the histogram.
* \ingroup ITKStatistics
*/
class ConstIterator
{
public:
friend class Histogram;
ConstIterator(const Self * histogram)
{
m_Id = 0;
m_Histogram = histogram;
}
ConstIterator(const ConstIterator & it)
{
m_Id = it.m_Id;
m_Histogram = it.m_Histogram;
}
ConstIterator &
operator=(const ConstIterator & it)
{
m_Id = it.m_Id;
m_Histogram = it.m_Histogram;
return *this;
}
AbsoluteFrequencyType
GetFrequency() const
{
return m_Histogram->GetFrequency(m_Id);
}
InstanceIdentifier
GetInstanceIdentifier() const
{
return m_Id;
}
const MeasurementVectorType &
GetMeasurementVector() const
{
return m_Histogram->GetMeasurementVector(m_Id);
}
const IndexType &
GetIndex() const
{
return m_Histogram->GetIndex(m_Id);
}
ConstIterator &
operator++()
{
++m_Id;
return *this;
}
bool
operator==(const ConstIterator & it) const
{
return (m_Id == it.m_Id);
}
ITK_UNEQUAL_OPERATOR_MEMBER_FUNCTION(ConstIterator);
protected:
ConstIterator(InstanceIdentifier id, const Self * histogram)
: m_Id(id)
, m_Histogram(histogram)
{}
// ConstIterator pointing DenseFrequencyContainer
InstanceIdentifier m_Id;
// Pointer of DenseFrequencyContainer
const Self * m_Histogram;
private:
ConstIterator() = delete;
}; // end of iterator class
/**
* \class Iterator
* \brief class that walks through the elements of the histogram.
* \ingroup ITKStatistics
*/
class Iterator : public ConstIterator
{
public:
Iterator() = delete;
Iterator(const Self * histogram) = delete;
Iterator(InstanceIdentifier id, const Self * histogram) = delete;
Iterator(const ConstIterator & it) = delete;
ConstIterator &
operator=(const ConstIterator & it) = delete;
Iterator(Self * histogram)
: ConstIterator(histogram)
{}
Iterator(InstanceIdentifier id, Self * histogram)
: ConstIterator(id, histogram)
{}
Iterator(const Iterator & it)
: ConstIterator(it)
{}
Iterator &
operator=(const Iterator & it)
{
this->ConstIterator::operator=(it);
return *this;
}
bool
SetFrequency(const AbsoluteFrequencyType value)
{
auto * histogram = const_cast<Self *>(this->m_Histogram);
return histogram->SetFrequency(this->m_Id, value);
}
}; // end of iterator class
Iterator
Begin()
{
Iterator iter(0, this);
return iter;
}
Iterator
End()
{
return Iterator(m_OffsetTable[this->GetMeasurementVectorSize()], this);
}
ConstIterator
Begin() const
{
ConstIterator iter(0, this);
return iter;
}
ConstIterator
End() const
{
return ConstIterator(m_OffsetTable[this->GetMeasurementVectorSize()], this);
}
protected:
Histogram();
~Histogram() override = default;
// The number of bins for each dimension
SizeType m_Size{};
private:
using OffsetTableType = std::vector<InstanceIdentifier>;
OffsetTableType m_OffsetTable{};
FrequencyContainerPointer m_FrequencyContainer{};
unsigned int m_NumberOfInstances{ 0 };
// This method is provided here just to avoid a "hidden" warning
// related to the virtual method available in DataObject.
void
Initialize() override
{}
// lower bound of each bin
std::vector<std::vector<MeasurementType>> m_Min{};
// upper bound of each bin
std::vector<std::vector<MeasurementType>> m_Max{};
mutable MeasurementVectorType m_TempMeasurementVector{};
mutable IndexType m_TempIndex{};
bool m_ClipBinsAtEnds{ true };
};
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkHistogram.hxx"
#endif
#endif
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