ITK
4.13.0
Insight Segmentation and Registration Toolkit
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#include <itkRecursiveLineYvvGaussianImageFilter.h>
1D recursive Gaussian blur based on Young-Van Vliet's algorithm, implemented for CPU.
This CPU implementation is more efficient than the GPU implamentation for smaller images (e.g. 512 and smaller for quadcores at over 3GHz); use the benchmark tests to establish the size for which this implementation performs better for your particular hardware configuration.
More information in the Insight Journal publication: http://hdl.handle.net/10380/3425
Definition at line 46 of file itkRecursiveLineYvvGaussianImageFilter.h.
Static Public Member Functions | |
static Pointer | New () |
Static Public Member Functions inherited from itk::Object | |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool flag) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
Protected Attributes | |
ScalarRealType | m_B |
ScalarRealType | m_B1 |
ScalarRealType | m_B2 |
ScalarRealType | m_B3 |
vnl_matrix< ScalarRealType > | m_MMatrix |
Protected Attributes inherited from itk::ProcessObject | |
TimeStamp | m_OutputInformationMTime |
bool | m_Updating |
Protected Attributes inherited from itk::LightObject | |
AtomicInt< int > | m_ReferenceCount |
Private Attributes | |
unsigned int | m_Direction |
ImageRegionSplitterDirection::Pointer | m_ImageRegionSplitter |
bool | m_NormalizeAcrossScale |
ScalarRealType | m_Sigma |
virtual ScalarRealType | GetSigma () const |
virtual void | SetSigma (ScalarRealType _arg) |
RecursiveLineYvvGaussianImageFilter () | |
virtual | ~RecursiveLineYvvGaussianImageFilter () |
void | PrintSelf (std::ostream &os, Indent indent) const |
Additional Inherited Members | |
Static Public Attributes inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage > | |
static const unsigned int | InputImageDimension = TInputImage::ImageDimension |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
static const unsigned int | InputImageDimension = TInputImage::ImageDimension |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageSource< TOutputImage > | |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) > | InputToOutputRegionCopierType |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) > | OutputToInputRegionCopierType |
Static Protected Member Functions inherited from itk::ImageSource< TOutputImage > | |
static const ImageRegionSplitterBase * | GetGlobalDefaultSplitter () |
static ITK_THREAD_RETURN_TYPE | ThreaderCallback (void *arg) |
typedef SmartPointer< const Self > itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::ConstPointer |
Definition at line 54 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef TInputImage::ConstPointer itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::InputImageConstPointer |
Definition at line 64 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef TInputImage::Pointer itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::InputImagePointer |
Smart pointer typedef support.
Definition at line 60 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef TInputImage itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::InputImageType |
Type of the input image
Definition at line 83 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef TInputImage::PixelType itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::InputPixelType |
Real type to be used in internal computations. RealType in general is templated over the pixel type. (For example for vector or tensor pixels, RealType is a vector or a tensor of doubles.) ScalarRealType is a type meant for scalars.
Definition at line 71 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef TOutputImage::RegionType itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::OutputImageRegionType |
Definition at line 80 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef TOutputImage itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::OutputImageType |
Type of the output image
Definition at line 86 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef SmartPointer< Self > itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::Pointer |
Definition at line 53 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef NumericTraits< InputPixelType >::FloatType itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::RealType |
Definition at line 76 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef NumericTraits< InputPixelType >::FloatType itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::ScalarRealType |
Definition at line 77 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef RecursiveLineYvvGaussianImageFilter itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::Self |
Standard class typedefs.
Definition at line 51 of file itkRecursiveLineYvvGaussianImageFilter.h.
typedef InPlaceImageFilter< TInputImage, TOutputImage > itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::Superclass |
Definition at line 52 of file itkRecursiveLineYvvGaussianImageFilter.h.
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Set/Get the Sigma, measured in world coordinates, of the Gaussian kernel. The default is 1.0.
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Set/Get the Sigma, measured in world coordinates, of the Gaussian kernel. The default is 1.0.
Definition at line 124 of file itkRecursiveLineYvvGaussianImageFilter.h.
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GenerateData (apply) the filter.
Reimplemented from itk::ImageSource< TOutputImage >.
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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.
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RecursiveLineYvvGaussianImageFilter needs all of the input only in the "Direction" dimension. Therefore we enlarge the output's RequestedRegion to this. Then the superclass's GenerateInputRequestedRegion method will copy the output region to the input.
Reimplemented from itk::ProcessObject.
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Apply the Recursive Filter to an array of data. This method is called for each line of the volume. Parameter "scratch" is a scratch area used for internal computations that is the same size as the parameters "outs" and "data". The scratch area must be allocated outside of this routine (this avoids memory allocation and deallocation in the inner loop of the overall algorithm.
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Get the direction in which the filter is to be applied.
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Get the image splitter to split the image for multi-threading.
The Splitter object divides the image into regions for threading or streaming. The algorithms on how to split an images are separated into class so that they can be easily be reused. When deriving from this class to write a filter consideration to the algorithm used to divide the image should be made. If a change is desired this method should be overridden to return the appropriate object.
Reimplemented from itk::ImageSource< TOutputImage >.
const TInputImage* itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::GetInputImage | ( | void | ) |
Get Input Image.
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Type macro that defines a name for this class.
Reimplemented from itk::InPlaceImageFilter< TInputImage, TOutputImage >.
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Set/Get the Sigma, measured in world coordinates, of the Gaussian kernel. The default is 1.0.
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Method for creation through the object factory.
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Set/Get the Sigma, measured in world coordinates, of the Gaussian kernel. The default is 1.0.
Reimplemented from itk::InPlaceImageFilter< TInputImage, TOutputImage >.
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Set the direction in which the filter is to be applied.
void itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >::SetInputImage | ( | const TInputImage * | ) |
Set Input Image.
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Set/Get the flag for normalizing the gaussian over scale space. When this flag is ON the filter will be normalized in such a way that larger sigmas will not result in the image fading away.
When the flag is OFF the normalization will conserve contant the integral of the image intensity.
For analyzing an image across Scale Space you want to enable this flag. It is disabled by default.
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Set/Get the Sigma, measured in world coordinates, of the Gaussian kernel. The default is 1.0.
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Set up the coefficients of the filter to approximate a specific kernel. Typically it can be used to approximate a Gaussian or one of its derivatives. Parameter is the spacing along the dimension to filter.
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If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).
Reimplemented from itk::ImageSource< TOutputImage >.
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Definition at line 166 of file itkRecursiveLineYvvGaussianImageFilter.h.
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Causal and anti-causal coefficients that multiply the input data. These are already divided by B0
Definition at line 163 of file itkRecursiveLineYvvGaussianImageFilter.h.
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Definition at line 164 of file itkRecursiveLineYvvGaussianImageFilter.h.
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Definition at line 165 of file itkRecursiveLineYvvGaussianImageFilter.h.
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Direction in which the filter is to be applied this should be in the range [0,ImageDimension-1].
Definition at line 171 of file itkRecursiveLineYvvGaussianImageFilter.h.
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Definition at line 182 of file itkRecursiveLineYvvGaussianImageFilter.h.
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Definition at line 169 of file itkRecursiveLineYvvGaussianImageFilter.h.
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Normalize the image across scale space
Definition at line 181 of file itkRecursiveLineYvvGaussianImageFilter.h.
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Sigma of the gaussian kernel.
Definition at line 178 of file itkRecursiveLineYvvGaussianImageFilter.h.