Base class for ImageKmeansModelEstimator object. More...
#include <itkImageKmeansModelEstimator.h>
Detailed Description
template<class TInputImage, class TMembershipFunction>
class itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >
Base class for ImageKmeansModelEstimator object.
itkImageKmeansModelEstimator generated the kmeans model (cluster centers). This object performs clustering of data sets into different clusters either using user provided seed points as initial guess or generating the clusters using a recursive approach when the user provides the number of desired clusters. Each cluster is represented by its cluster center. The two algorithms used are the generalized Lloyd algorithm (GLA) and the Linde-Buzo-Gray algorithms. The cluster centers are also referred to as codewords and a table of cluster centers is is referred as a codebook.
As required by the GLA algorithm, the initial seed cluster should contain approximate centers of clusters. The GLA algorithm genrates an updated cluster centers that result in a lower distortion than the input seed cluster when the input vectors are mapped/classified/labelled using the given codebooks.
If no codebook is provided, the Linde-Buzo-Gray algorithm is used. This algorithm uses the GLA algorithm at its core to generate the centroids of the input vectors (data). However, since there is no initial codebook, LBG first creates a one word codebook (or centroid of one cluster comprising of all the input training vectors). The LBG uses codeword/or centroid splitting to create increasing number of clusters. Each new set of clusters are optimized using the GLA algorithm. The number of clusters increases as $2^{n}$ n= 0, 1, ... The codebook is expected to be in the form of a vnl matrix, where there are N rows. each row representing the cluster mean of a given cluster. The number of columns in a the codebook should be equal to the input image vector dimension.
The threshold parameter controls the ``optimality'' of the returned codebook where optimality is related to the least possible mean-squared error distortion that can be found by the algorithm. For larger thresholds, the result will be less optimal. For smaller thresholds, the result will be more optimal. If a more optimal result is desired, then the algorithm will take longer to complete. A reasonable threshold value is 0.01.
If, during the operation of the algorithm, there are any unused clusters or cells, the m_OffsetAdd and m_OffsetMultiply parameters is used to split the cells with the highest distortion. This functions will attempt to fill empty cells up to 10 times (unless the overall distortion is zero). Using 0.01 is a reasonable default values for the m_OffsetAdd and m_OffsetMultiply parameters.
If the GLA is unable to resolve the data into the desired number of clusters or cells, only the codewords which were used will be returned.
In terms of clustering, codewords are cluster centers, and a codebook is a table containing all cluster centers. The GLA produces results that are equivalent to the K-means clustering algorithm.
For more information about the algorithms, see A. Gersho and R. M. Gray, {Vector Quantization and Signal Compression}, Kluwer Academic Publishers, Boston, MA, 1992.
This object supports data handling of multiband images. The object accepts the input image in vector format only, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. A single band image is treated as a vector image with a single element for every vector.
This function is templated over the type of input image. In addition, a second parameter for the MembershipFunction needs to be specified. In this case a Membership function that store cluster centroids models needs to be specified.
The Update() function enables the calculation of the various models, creates the membership function objects and populates them.
Note: There is a second implementation of k-means algorithm in ITK under the itk::statistics namespace. While this algorithm (GLA/LBG based algorithm) is memory efficient, the other algorithm is time efficient.
- See also:
- KdTreeBasedKmeansEstimator, WeightedCentroidKdTreeGenerator, KdTree
- ScalarImageKmeansImageFilter
Definition at line 127 of file itkImageKmeansModelEstimator.h.
Member Typedef Documentation
| typedef vnl_matrix<double> itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::CodebookMatrixOfDoubleType |
Type definition for a double matrix.
Definition at line 166 of file itkImageKmeansModelEstimator.h.
| typedef vnl_matrix<int> itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::CodebookMatrixOfIntegerType |
Type definition for an integer vector.
Definition at line 169 of file itkImageKmeansModelEstimator.h.
| typedef SmartPointer<const Self> itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::ConstPointer |
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 137 of file itkImageKmeansModelEstimator.h.
| typedef ImageRegionConstIterator<TInputImage> itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::InputImageConstIterator |
Definition at line 160 of file itkImageKmeansModelEstimator.h.
| typedef TInputImage::ConstPointer itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::InputImageConstPointer |
Definition at line 148 of file itkImageKmeansModelEstimator.h.
| typedef ImageRegionIterator<TInputImage> itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::InputImageIterator |
Type definition for the input image iterator type.
Definition at line 158 of file itkImageKmeansModelEstimator.h.
| typedef TInputImage::PixelType itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::InputImagePixelType |
Type definition for the input image pixel type.
Definition at line 155 of file itkImageKmeansModelEstimator.h.
| typedef TInputImage::Pointer itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::InputImagePointer |
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 147 of file itkImageKmeansModelEstimator.h.
| typedef TInputImage itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::InputImageType |
Type definition for the input image.
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 143 of file itkImageKmeansModelEstimator.h.
| typedef TInputImage::PixelType::VectorType itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::InputImageVectorType |
Type definition for the vector associated with input image pixel type.
Definition at line 152 of file itkImageKmeansModelEstimator.h.
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited] |
Define the type of the reference count according to the target. This allows the use of atomic operations
Definition at line 139 of file itkLightObject.h.
| typedef TMembershipFunction::Pointer itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::MembershipFunctionPointer |
Type definitions for the membership function .
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 163 of file itkImageKmeansModelEstimator.h.
typedef std::vector< MembershipFunctionPointer > itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::MembershipFunctionPointerVector [inherited] |
Definition at line 87 of file itkImageModelEstimatorBase.h.
| typedef SmartPointer<Self> itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::Pointer |
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 136 of file itkImageKmeansModelEstimator.h.
| typedef ImageKmeansModelEstimator itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::Self |
Standard class typedefs.
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 132 of file itkImageKmeansModelEstimator.h.
| typedef ImageModelEstimatorBase<TInputImage, TMembershipFunction> itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::Superclass |
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
Definition at line 134 of file itkImageKmeansModelEstimator.h.
Constructor & Destructor Documentation
| itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::ImageKmeansModelEstimator | ( | ) | [protected] |
| itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::~ImageKmeansModelEstimator | ( | ) | [protected] |
Member Function Documentation
| virtual void itk::LightProcessObject::AbortGenerateDataOff | ( | ) | [virtual, inherited] |
| virtual void itk::LightProcessObject::AbortGenerateDataOn | ( | ) | [virtual, inherited] |
Turn on and off the AbortGenerateData flag.
| unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::AddMembershipFunction | ( | MembershipFunctionPointer | function | ) | [inherited] |
Stores a MembershipCalculator of a class in its internal vector
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| void itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::Allocate | ( | ) | [protected] |
Allocate memory for the output model.
| static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
| virtual LightObject::Pointer itk::Object::CreateAnother | ( | ) | const [virtual, inherited] |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::LightObject.
Reimplemented in itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder >, itk::CreateObjectFunction< T >, itk::TransformFactoryBase, itk::AnalyzeImageIOFactory, itk::BioRadImageIOFactory, itk::BMPImageIOFactory, itk::Brains2MaskImageIOFactory, itk::DICOMImageIO2Factory, itk::DicomImageIOFactory, itk::GDCMImageIOFactory, itk::GE4ImageIOFactory, itk::GE5ImageIOFactory, itk::GEAdwImageIOFactory, itk::GiplImageIOFactory, itk::JPEGImageIOFactory, itk::LSMImageIOFactory, itk::MetaImageIOFactory, itk::NiftiImageIOFactory, itk::NrrdImageIOFactory, itk::PNGImageIOFactory, itk::RawImageIOFactory< TPixel, VImageDimension >, itk::SiemensVisionImageIOFactory, itk::StimulateImageIOFactory, itk::TIFFImageIOFactory, itk::VTKImageIOFactory, itk::Bruker2DSEQImageIOFactory, itk::MatlabTransformIOFactory, itk::MINC2ImageIOFactory, itk::MRCImageIOFactory, itk::PhilipsRECImageIOFactory, itk::TxtTransformIOFactory, itk::VoxBoCUBImageIOFactory, itk::VTKImageIO2Factory, and itk::SpatialObjectFactoryBase.
| virtual void itk::Object::DebugOff | ( | ) | const [virtual, inherited] |
Turn debugging output off.
| virtual void itk::Object::DebugOn | ( | ) | const [virtual, inherited] |
Turn debugging output on.
| virtual void itk::LightObject::Delete | ( | ) | [virtual, inherited] |
Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.
| void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::DeleteAllMembershipFunctions | ( | ) | [inline, inherited] |
Method to reset the membership fucntion mean
Definition at line 122 of file itkImageModelEstimatorBase.h.
| void itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::GenerateData | ( | ) | [protected, virtual] |
Starts the image modelling process
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
| virtual const bool& itk::LightProcessObject::GetAbortGenerateData | ( | ) | [virtual, inherited] |
Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| virtual CodebookMatrixOfDoubleType itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::GetCodebook | ( | ) | const [virtual] |
Get the cluster centers.
| Command* itk::Object::GetCommand | ( | unsigned long | tag | ) | [inherited] |
Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.
| bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
| virtual InputImageType* itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetInputImage | ( | ) | [virtual, inherited] |
Get the input image.
| CodebookMatrixOfDoubleType itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::GetKmeansResults | ( | void | ) | [inline] |
Return the codebook/cluster centers.
Definition at line 206 of file itkImageKmeansModelEstimator.h.
| virtual int itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::GetMaxSplitAttempts | ( | ) | const [virtual] |
Get the manimum number of attempts to split a codeword.
| const MembershipFunctionPointerVector itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetMembershipFunctions | ( | ) | const [inline, inherited] |
Method to get mean
Definition at line 110 of file itkImageModelEstimatorBase.h.
| MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
- Returns:
- A reference to this objects MetaDataDictionary.
- Warning:
- This reference may be changed.
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
- Returns:
- A constant reference to this objects MetaDataDictionary.
| virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
| virtual const char* itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
| unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfMembershipFunctions | ( | ) | [inline, inherited] |
Method to number of membership functions
Definition at line 116 of file itkImageModelEstimatorBase.h.
| virtual const unsigned int& itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::GetNumberOfModels | ( | ) | [virtual, inherited] |
Get the number of classes.
| virtual double itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::GetOffsetAdd | ( | ) | const [virtual] |
Get the offset add parameter.
| virtual double itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::GetOffsetMultiply | ( | ) | const [virtual] |
Get the offset multiplication parameter.
| CodebookMatrixOfDoubleType itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::GetOutCodebook | ( | ) | [inline] |
Get the optimized codebook or the centroids of the clusters.
Definition at line 178 of file itkImageKmeansModelEstimator.h.
| virtual const float& itk::LightProcessObject::GetProgress | ( | ) | [virtual, inherited] |
Get the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 106 of file itkLightObject.h.
| virtual double itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::GetThreshold | ( | ) | const [virtual] |
Get the threshold parameter.
| static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 100 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 98 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | const [inherited] |
Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
| virtual void itk::Object::Modified | ( | ) | const [virtual, inherited] |
Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| static Pointer itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::LightProcessObject.
| void itk::LightObject::Print | ( | std::ostream & | os, | |
| Indent | indent = 0 | |||
| ) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< ProcessObject >::Print().
| virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| void itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::PrintKmeansAlgorithmResults | ( | ) | [protected] |
Print out the results on the screen for visual feedback.
| bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, inherited] |
| virtual void itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::PrintSelf | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual] |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >.
| virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
| void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
| virtual void itk::LightProcessObject::SetAbortGenerateData | ( | bool | _arg | ) | [virtual, inherited] |
Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| void itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::SetCodebook | ( | CodebookMatrixOfDoubleType | InCodebook | ) |
Set the cluster centers.
| void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
| static void itk::Object::SetGlobalWarningDisplay | ( | bool | flag | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
| virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetInputImage | ( | InputImageType * | _arg | ) | [virtual, inherited] |
Type definitions for the training image. Set the input image.
| virtual void itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::SetMaxSplitAttempts | ( | int | _arg | ) | [virtual] |
Set the maximum number of attempts to split a codeword.
| void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetMembershipFunctions | ( | MembershipFunctionPointerVector | membershipFunctions | ) | [inline, inherited] |
Set the classified image.
Definition at line 103 of file itkImageModelEstimatorBase.h.
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
- Returns:
- Set the MetaDataDictionary
| virtual void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::SetNumberOfModels | ( | unsigned int | _arg | ) | [virtual, inherited] |
Set the number of classes.
| virtual void itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::SetOffsetAdd | ( | double | _arg | ) | [virtual] |
Set the offset add parameter.
| virtual void itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::SetOffsetMultiply | ( | double | _arg | ) | [virtual] |
Set the offset multiplication parameter.
| virtual void itk::LightProcessObject::SetProgress | ( | float | _arg | ) | [virtual, inherited] |
Set the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| virtual void itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >::SetThreshold | ( | double | _arg | ) | [virtual] |
Set the threshold parameter.
| virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
| void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Update | ( | ) | [inherited] |
Define a virtual function to perform model generation from the input data
| virtual void itk::LightProcessObject::UpdateOutputData | ( | ) | [virtual, inherited] |
Actually generate new output.
| void itk::LightProcessObject::UpdateProgress | ( | float | amount | ) | [inherited] |
Update the progress of the process object. If a ProgressMethod exists, executes it. Then set the Progress ivar to amount. The parameter amount should range between (0,1).
Member Data Documentation
InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 144 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 147 of file itkLightObject.h.
The documentation for this class was generated from the following file:
