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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 itkSampleClassifierFilter_h
#define itkSampleClassifierFilter_h
#include <vector>
#include "itkMembershipSample.h"
#include "itkMembershipFunctionBase.h"
#include "itkDecisionRule.h"
#include "itkProcessObject.h"
#include "itkSimpleDataObjectDecorator.h"
namespace itk
{
namespace Statistics
{
/**
* \class SampleClassifierFilter
*
* \brief Sample classification class
*
* This filter takes as input a Sample and produces as output a
* classification in the form of a MembershipSample object.
*
* \ingroup ITKStatistics
*/
template <typename TSample>
class ITK_TEMPLATE_EXPORT SampleClassifierFilter : public ProcessObject
{
public:
ITK_DISALLOW_COPY_AND_MOVE(SampleClassifierFilter);
/** Standard class type alias */
using Self = SampleClassifierFilter;
using Superclass = ProcessObject;
using Pointer = SmartPointer<Self>;
using ConstPointer = SmartPointer<const Self>;
/** \see LightObject::GetNameOfClass() */
itkOverrideGetNameOfClassMacro(SampleClassifierFilter);
itkNewMacro(Self);
/** Type of the input Sample */
using SampleType = TSample;
/** type alias Output type */
using MembershipSampleType = MembershipSample<SampleType>;
using MembershipSampleObjectPointer = typename MembershipSampleType::Pointer;
/** type alias from SampleType object */
using MeasurementType = typename SampleType::MeasurementType;
using MeasurementVectorType = typename SampleType::MeasurementVectorType;
/** type alias for the MembershipFunction */
using MembershipFunctionType = MembershipFunctionBase<MeasurementVectorType>;
using MembershipFunctionPointer = typename MembershipFunctionType::ConstPointer;
using MembershipFunctionVectorType = std::vector<MembershipFunctionPointer>;
using MembershipFunctionVectorObjectType = SimpleDataObjectDecorator<MembershipFunctionVectorType>;
using MembershipFunctionVectorObjectPointer = typename MembershipFunctionVectorObjectType::Pointer;
/** type alias for membership functions weight proportion */
using MembershipFunctionsWeightsArrayType = Array<double>;
using MembershipFunctionsWeightsArrayObjectType = SimpleDataObjectDecorator<MembershipFunctionsWeightsArrayType>;
using MembershipFunctionsWeightsArrayPointer = typename MembershipFunctionsWeightsArrayObjectType::Pointer;
using ClassLabelType = IdentifierType;
using ClassLabelVectorType = std::vector<ClassLabelType>;
using ClassLabelVectorObjectType = SimpleDataObjectDecorator<ClassLabelVectorType>;
using ClassLabelVectorObjectPointer = ClassLabelVectorObjectType::Pointer;
/** type of the decision rule */
using DecisionRuleType = DecisionRule;
using DecisionRulePointer = DecisionRuleType::ConstPointer;
/** Sets the input sample that will be classified by this filter. */
using Superclass::SetInput;
void
SetInput(const SampleType * sample);
const SampleType *
GetInput() const;
/** Returns the classification result */
const MembershipSampleType *
GetOutput() const;
/** Number of classes. This must match the number of labels and membership
* functions provided by the user, otherwise an exception will be thrown at
*/
itkSetMacro(NumberOfClasses, unsigned int);
itkGetConstMacro(NumberOfClasses, unsigned int);
/** Set/Get the decision rule. */
itkSetConstObjectMacro(DecisionRule, DecisionRuleType);
itkGetConstObjectMacro(DecisionRule, DecisionRuleType);
/** Sets input vector of class labels. The length of this vector must match
* the number of classes, otherwise an exception will be thrown at run time.
* */
void
SetClassLabels(const ClassLabelVectorObjectType * classLabels);
/** Sets input vector of membership functions. The length of this vector must match
* the number of classes, otherwise an exception will be thrown at run time.
* */
void
SetMembershipFunctions(const MembershipFunctionVectorObjectType * membershipFunctions);
/** Sets array of weights for the membership functions */
void
SetMembershipFunctionsWeightsArray(const MembershipFunctionsWeightsArrayObjectType * weightsArray);
protected:
SampleClassifierFilter();
~SampleClassifierFilter() override = default;
void
PrintSelf(std::ostream & os, Indent indent) const override;
/** Starts the classification process */
void
GenerateData() override;
/** Make a DataObject of the correct type to used as the specified
* output. This method
* is automatically called when DataObject::DisconnectPipeline() is
* called.
* \sa ProcessObject
*/
using DataObjectPointerArraySizeType = ProcessObject::DataObjectPointerArraySizeType;
using Superclass::MakeOutput;
DataObjectPointer
MakeOutput(DataObjectPointerArraySizeType idx) override;
private:
unsigned int m_NumberOfClasses{};
/** Decision Rule */
DecisionRulePointer m_DecisionRule{};
}; // end of class
} // end of namespace Statistics
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
# include "itkSampleClassifierFilter.hxx"
#endif
#endif
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