Protected Member Functions |
| virtual void | EnlargeOutputRequestedRegion (DataObject *) |
| void | GenerateData () |
| virtual void | GenerateInputRequestedRegion () |
| | ImageShapeModelEstimatorBase () |
| | ~ImageShapeModelEstimatorBase () |
| virtual void | CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion) |
| virtual void | CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion) |
| | ImageToImageFilter () |
| virtual void | VerifyInputInformation () |
| | ~ImageToImageFilter () |
| void | PushBackInput (const DataObject *input) |
| void | PushFrontInput (const DataObject *input) |
| virtual void | AfterThreadedGenerateData () |
| virtual void | AllocateOutputs () |
| virtual void | BeforeThreadedGenerateData () |
| | ImageSource () |
| virtual unsigned int | SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion) |
| virtual void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId) |
| virtual | ~ImageSource () |
| virtual void | AddInput (DataObject *input) |
| virtual void | AddOutput (DataObject *output) |
| bool | AddRequiredInputName (const DataObjectIdentifierType &) |
| virtual void | CacheInputReleaseDataFlags () |
| virtual void | GenerateOutputInformation () |
| virtual void | GenerateOutputRequestedRegion (DataObject *output) |
virtual const
DataObjectPointerArraySizeType & | GetNumberOfRequiredInputs () |
virtual const
DataObjectPointerArraySizeType & | GetNumberOfRequiredOutputs () |
| bool | IsIndexedName (const DataObjectIdentifierType &) const |
| bool | IsRequiredInputName (const DataObjectIdentifierType &) const |
| | itkLegacyMacro (virtual void RemoveInput(DataObject *input)) |
| | itkLegacyMacro (virtual void RemoveOutput(DataObject *output)) |
| | itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num)) |
| | itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num)) |
| DataObjectPointerArraySizeType | MakeIndexFromName (const DataObjectIdentifierType &) const |
| DataObjectIdentifierType | MakeNameFromIndex (DataObjectPointerArraySizeType) const |
| | ProcessObject () |
| virtual void | PropagateResetPipeline () |
| virtual void | ReleaseInputs () |
| virtual void | RemoveInput (const DataObjectIdentifierType &key) |
| virtual void | RemoveInput (DataObjectPointerArraySizeType) |
| virtual void | RemoveOutput (const DataObjectIdentifierType &key) |
| virtual void | RemoveOutput (DataObjectPointerArraySizeType idx) |
| bool | RemoveRequiredInputName (const DataObjectIdentifierType &) |
| virtual void | RestoreInputReleaseDataFlags () |
| virtual void | SetInput (const DataObjectIdentifierType &key, DataObject *input) |
| virtual void | SetNthInput (DataObjectPointerArraySizeType num, DataObject *input) |
| virtual void | SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output) |
| void | SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num) |
| void | SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num) |
| virtual void | SetNumberOfRequiredInputs (DataObjectPointerArraySizeType) |
| virtual void | SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg) |
| virtual void | SetOutput (const DataObjectIdentifierType &key, DataObject *output) |
| virtual void | SetPrimaryInput (DataObject *input) |
| virtual void | SetPrimaryOutput (DataObject *output) |
| void | SetRequiredInputNames (const NameArray &) |
| virtual void | VerifyPreconditions () |
| | ~ProcessObject () |
| DataObject * | GetInput (const DataObjectIdentifierType &key) |
| const DataObject * | GetInput (const DataObjectIdentifierType &key) const |
| DataObject * | GetInput (DataObjectPointerArraySizeType) |
| const DataObject * | GetInput (DataObjectPointerArraySizeType idx) const |
| DataObject * | GetPrimaryInput () |
| const DataObject * | GetPrimaryInput () const |
| DataObject * | GetOutput (const DataObjectIdentifierType &key) |
| const DataObject * | GetOutput (const DataObjectIdentifierType &key) const |
| DataObject * | GetOutput (DataObjectPointerArraySizeType idx) |
| const DataObject * | GetOutput (DataObjectPointerArraySizeType idx) const |
| DataObject * | GetPrimaryOutput () |
| const DataObject * | GetPrimaryOutput () const |
| | Object () |
| bool | PrintObservers (std::ostream &os, Indent indent) const |
| virtual void | SetTimeStamp (const TimeStamp &time) |
| virtual | ~Object () |
| virtual LightObject::Pointer | InternalClone () const |
| | LightObject () |
| virtual void | PrintHeader (std::ostream &os, Indent indent) const |
| virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
| virtual | ~LightObject () |
template<class TInputImage, class TOutputImage = Image< double, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
class itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >
Base class for ImagePCAShapeModelEstimator object.
itkImagePCAShapeModelEstimator performs a principal component analysis (PCA) on a set of images. The user specifies the number of training images and also the number of desired largest principal components needed. The ITK pipeline mechanism sets up the storage for both input and output images. The number of output images are the user specified number of desired largest principal components plus 1 (for the mean image).
The algorithm uses the VNL library to perform the eigen analysis. To speed the computation of the instead of performing the eigen analysis of the covariance vector A*A' where A is a matrix with p x t, p = number of pixels or voxels in each images and t = number of training images, we calculate the eigen vectors of the inner product matrix A'*A. The resulting eigen vectors (E) are then multiplied with the the matrix A to get the principal compoenets. The covariance matrix has a dimension of p x p. Since number of pixels in any image being typically very high the eigen decomposition becomes computationally expensive. The inner product on the other hand has the dimension of t x t, where t is typically much smaller that p. Hence the eigen decomposition (most compute intensive part) is an orders of magnitude faster.
The Update() function enables the calculation of the various models, creates the membership function objects and populates them.
- Wiki Examples:
Definition at line 77 of file itkImagePCAShapeModelEstimator.h.
template<class TInputImage, class TOutputImage = Image< double, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
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::Object.
template<class TInputImage, class TOutputImage = Image< double, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
Local functions A function that generates the cluster centers (model) corresponding to the estimates of the cluster centers (in the initial codebook). If no codebook is provided, then use the number of classes to determine the cluster centers or the Shape model. This is the the base function to call the K-means classifier.
Implements itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >.
template<class TInputImage, class TOutputImage = Image< double, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
This filter requires all the input image at once, as such it must override the GenerateInputRequestedRegion method. Additionally, this filter assumes that the input images are at least the size as the first input image.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
template<class TInputImage, class TOutputImage = Image< double, ::itk::GetImageDimension< TInputImage >::ImageDimension >>
Inheritance diagram for itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >:
1.8.1
