18 #ifndef __itkImageGaussianModelEstimator_h
19 #define __itkImageGaussianModelEstimator_h
24 #include "vnl/vnl_vector.h"
25 #include "vnl/vnl_matrix.h"
26 #include "vnl/vnl_matrix_fixed.h"
27 #include "vnl/vnl_math.h"
28 #include "vnl/algo/vnl_matrix_inverse.h"
74 template<
typename TInputImage,
75 typename TMembershipFunction,
76 typename TTrainingImage >
144 InputImagePixelType::Dimension);
161 #ifndef ITK_MANUAL_INSTANTIATION
162 #include "itkImageGaussianModelEstimator.hxx"
virtual void EstimateModels()
TTrainingImage::Pointer TrainingImagePointer
ImageRegionIterator< TTrainingImage > TrainingImageIterator
Light weight base class for most itk classes.
TInputImage InputImageType
ImageModelEstimatorBase< TInputImage, TMembershipFunction > Superclass
MatrixType * m_Covariance
void operator=(const Self &)
TInputImage::ConstPointer InputImageConstPointer
TTrainingImage TrainingImageType
ImageRegionIterator< TInputImage > InputImageIterator
ImageRegionConstIterator< TInputImage > InputImageConstIterator
TInputImage::SizeType InputImageSizeType
Base class for model estimation from images used for classification.
vnl_matrix< double > MatrixType
static const unsigned int VectorDimension
SmartPointer< Self > Pointer
void EstimateGaussianModelParameters()
~ImageGaussianModelEstimator()
ImageGaussianModelEstimator()
A multi-dimensional iterator templated over image type that walks a region of pixels.
TrainingImagePointer m_TrainingImage
ImageRegionConstIterator< TTrainingImage > TrainingImageConstIterator
Control indentation during Print() invocation.
TInputImage::PixelType InputImagePixelType
TMembershipFunction::Pointer MembershipFunctionPointer
TInputImage::Pointer InputImagePointer
Base class for ImageGaussianModelEstimator object.
virtual void PrintSelf(std::ostream &os, Indent indent) const
ImageGaussianModelEstimator Self
TTrainingImage::ConstPointer TrainingImageConstPointer
A multi-dimensional iterator templated over image type that walks a region of pixels.
SmartPointer< const Self > ConstPointer
TTrainingImage::PixelType TrainingImagePixelType
MatrixType m_NumberOfSamples
TMembershipFunction MembershipFunctionType