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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 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:
/** Standard class typedef */
typedef SampleClassifierFilter Self;
typedef ProcessObject Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Standard macros */
itkTypeMacro(SampleClassifierFilter, ProcessObject);
itkNewMacro(Self);
/** Type of the input Sample */
typedef TSample SampleType;
/** typedefs Output type */
typedef MembershipSample< SampleType > MembershipSampleType;
typedef typename MembershipSampleType::Pointer MembershipSampleObjectPointer;
/** typedefs from SampleType object */
typedef typename SampleType::MeasurementType MeasurementType;
typedef typename SampleType::MeasurementVectorType MeasurementVectorType;
/** typedef for the MembershipFunction */
typedef MembershipFunctionBase< MeasurementVectorType > MembershipFunctionType;
typedef typename MembershipFunctionType::ConstPointer MembershipFunctionPointer;
typedef std::vector< MembershipFunctionPointer > MembershipFunctionVectorType;
typedef SimpleDataObjectDecorator<
MembershipFunctionVectorType > MembershipFunctionVectorObjectType;
typedef typename
MembershipFunctionVectorObjectType::Pointer MembershipFunctionVectorObjectPointer;
/** typedef for membership functions weight proprtion */
typedef Array< double > MembershipFunctionsWeightsArrayType;
typedef SimpleDataObjectDecorator<
MembershipFunctionsWeightsArrayType > MembershipFunctionsWeightsArrayObjectType;
typedef typename
MembershipFunctionsWeightsArrayObjectType::Pointer MembershipFunctionsWeightsArrayPointer;
typedef IdentifierType ClassLabelType;
typedef std::vector< ClassLabelType > ClassLabelVectorType;
typedef SimpleDataObjectDecorator<
ClassLabelVectorType > ClassLabelVectorObjectType;
typedef ClassLabelVectorObjectType::Pointer ClassLabelVectorObjectPointer;
/** type of the decision rule */
typedef DecisionRule DecisionRuleType;
typedef DecisionRuleType::ConstPointer DecisionRulePointer;
/** 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();
virtual ~SampleClassifierFilter() ITK_OVERRIDE {}
virtual void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
ITK_DISALLOW_COPY_AND_ASSIGN(SampleClassifierFilter);
/** Starts the classification process */
virtual void GenerateData() ITK_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
*/
typedef ProcessObject::DataObjectPointerArraySizeType DataObjectPointerArraySizeType;
using Superclass::MakeOutput;
virtual DataObjectPointer MakeOutput(DataObjectPointerArraySizeType idx) ITK_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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