1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163
|
/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkSampleClassifierFilter.h
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#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.
*
*/
template< class TSample >
class ITK_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 unsigned long 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. */
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() {}
void PrintSelf(std::ostream& os, Indent indent) const;
SampleClassifierFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
/** Starts the classification process */
void GenerateData();
/** 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
*/
virtual DataObjectPointer MakeOutput(unsigned int idx);
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.txx"
#endif
#endif
|