ITK
5.2.0
Insight Toolkit
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#include <itkAdditiveGaussianNoiseImageFilter.h>
Public Types | |
using | ConstPointer = SmartPointer< const Self > |
using | InputImageConstPointer = typename InputImageType::ConstPointer |
using | InputImagePixelType = typename InputImageType::PixelType |
using | InputImagePointer = typename InputImageType::Pointer |
using | InputImageRegionType = typename InputImageType::RegionType |
using | InputImageType = TInputImage |
using | OutputImagePixelType = typename Superclass::OutputImagePixelType |
using | OutputImagePointer = typename Superclass::OutputImagePointer |
using | OutputImageRegionType = typename Superclass::OutputImageRegionType |
using | OutputImageType = typename Superclass::OutputImageType |
using | Pointer = SmartPointer< Self > |
using | Self = AdditiveGaussianNoiseImageFilter |
using | Superclass = NoiseBaseImageFilter< TInputImage, TOutputImage > |
Public Types inherited from itk::NoiseBaseImageFilter< TInputImage, TOutputImage > | |
using | ConstPointer = SmartPointer< const Self > |
using | OutputImagePixelType = typename Superclass::OutputImagePixelType |
using | Pointer = SmartPointer< Self > |
using | Self = NoiseBaseImageFilter |
using | Superclass = InPlaceImageFilter< TInputImage, TOutputImage > |
Public Types inherited from itk::InPlaceImageFilter< TInputImage, TOutputImage > | |
using | ConstPointer = SmartPointer< const Self > |
using | InputImageConstPointer = typename InputImageType::ConstPointer |
using | InputImagePixelType = typename InputImageType::PixelType |
using | InputImagePointer = typename InputImageType::Pointer |
using | InputImageRegionType = typename InputImageType::RegionType |
using | InputImageType = TInputImage |
using | OutputImagePixelType = typename Superclass::OutputImagePixelType |
using | OutputImagePointer = typename Superclass::OutputImagePointer |
using | OutputImageRegionType = typename Superclass::OutputImageRegionType |
using | OutputImageType = typename Superclass::OutputImageType |
using | Pointer = SmartPointer< Self > |
using | Self = InPlaceImageFilter |
using | Superclass = ImageToImageFilter< TInputImage, TOutputImage > |
Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
using | ConstPointer = SmartPointer< const Self > |
using | InputImageConstPointer = typename InputImageType::ConstPointer |
using | InputImagePixelType = typename InputImageType::PixelType |
using | InputImagePointer = typename InputImageType::Pointer |
using | InputImageRegionType = typename InputImageType::RegionType |
using | InputImageType = TInputImage |
using | OutputImagePixelType = typename Superclass::OutputImagePixelType |
using | OutputImageRegionType = typename Superclass::OutputImageRegionType |
using | Pointer = SmartPointer< Self > |
using | Self = ImageToImageFilter |
using | Superclass = ImageSource< TOutputImage > |
Public Types inherited from itk::ImageSource< TOutputImage > | |
using | ConstPointer = SmartPointer< const Self > |
using | DataObjectIdentifierType = Superclass::DataObjectIdentifierType |
using | DataObjectPointer = DataObject::Pointer |
using | DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType |
using | OutputImagePixelType = typename OutputImageType::PixelType |
using | OutputImagePointer = typename OutputImageType::Pointer |
using | OutputImageRegionType = typename OutputImageType::RegionType |
using | OutputImageType = TOutputImage |
using | Pointer = SmartPointer< Self > |
using | Self = ImageSource |
using | Superclass = ProcessObject |
Public Types inherited from itk::ProcessObject | |
using | ConstPointer = SmartPointer< const Self > |
using | DataObjectIdentifierType = DataObject::DataObjectIdentifierType |
using | DataObjectPointer = DataObject::Pointer |
using | DataObjectPointerArray = std::vector< DataObjectPointer > |
using | DataObjectPointerArraySizeType = DataObjectPointerArray::size_type |
using | MultiThreaderType = MultiThreaderBase |
using | NameArray = std::vector< DataObjectIdentifierType > |
using | Pointer = SmartPointer< Self > |
using | Self = ProcessObject |
using | Superclass = Object |
Public Types inherited from itk::Object | |
using | ConstPointer = SmartPointer< const Self > |
using | Pointer = SmartPointer< Self > |
using | Self = Object |
using | Superclass = LightObject |
Public Types inherited from itk::LightObject | |
using | ConstPointer = SmartPointer< const Self > |
using | Pointer = SmartPointer< Self > |
using | Self = LightObject |
Static Public Member Functions | |
static Pointer | New () |
Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
static void | SetGlobalDefaultDirectionTolerance (double) |
static double | GetGlobalDefaultDirectionTolerance () |
static void | SetGlobalDefaultCoordinateTolerance (double) |
static double | GetGlobalDefaultCoordinateTolerance () |
Static Public Member Functions inherited from itk::Object | |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool val) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
double | m_Mean { 0.0 } |
double | m_StandardDeviation { 1.0 } |
virtual double | GetMean () const |
virtual void | SetMean (double _arg) |
virtual double | GetStandardDeviation () const |
virtual void | SetStandardDeviation (double _arg) |
AdditiveGaussianNoiseImageFilter () | |
~AdditiveGaussianNoiseImageFilter () override=default | |
void | PrintSelf (std::ostream &os, Indent indent) const override |
void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId) override |
Alter an image with additive Gaussian white noise.
Additive Gaussian white noise can be modeled as:
The noise is independent of the pixel intensities.
This code was contributed in the Insight Journal paper "Noise Simulation". https://www.insight-journal.org/browse/publication/721
Definition at line 54 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self> |
Definition at line 63 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::InputImageConstPointer = typename InputImageType::ConstPointer |
Definition at line 80 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::InputImagePixelType = typename InputImageType::PixelType |
Definition at line 82 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::InputImagePointer = typename InputImageType::Pointer |
Definition at line 79 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::InputImageRegionType = typename InputImageType::RegionType |
Definition at line 81 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage |
Some convenient type alias.
Definition at line 78 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::OutputImagePixelType = typename Superclass::OutputImagePixelType |
Definition at line 75 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename Superclass::OutputImagePointer |
Definition at line 73 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::OutputImageRegionType = typename Superclass::OutputImageRegionType |
Definition at line 74 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::OutputImageType = typename Superclass::OutputImageType |
Superclass type alias.
Definition at line 72 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self> |
Definition at line 62 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::Self = AdditiveGaussianNoiseImageFilter |
Standard class type aliases.
Definition at line 60 of file itkAdditiveGaussianNoiseImageFilter.h.
using itk::AdditiveGaussianNoiseImageFilter< TInputImage, TOutputImage >::Superclass = NoiseBaseImageFilter<TInputImage, TOutputImage> |
Definition at line 61 of file itkAdditiveGaussianNoiseImageFilter.h.
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protected |
Begin concept checking End concept checking
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overrideprotecteddefault |
Set/Get the mean of the Gaussian distribution. Defaults to 0.0.
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virtual |
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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virtual |
Set/Get the mean of the Gaussian distribution. Defaults to 0.0.
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virtual |
Run-time type information (and related methods).
Reimplemented from itk::NoiseBaseImageFilter< TInputImage, TOutputImage >.
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virtual |
Set/Get the standard deviation of the Gaussian distribution. Defaults to 1.0.
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static |
Method for creation through the object factory.
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overrideprotectedvirtual |
Set/Get the mean of the Gaussian distribution. Defaults to 0.0.
Reimplemented from itk::InPlaceImageFilter< TInputImage, TOutputImage >.
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virtual |
Set/Get the mean of the Gaussian distribution. Defaults to 0.0.
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virtual |
Set/Get the mean of the Gaussian distribution. Defaults to 0.0.
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overrideprotectedvirtual |
Set/Get the mean of the Gaussian distribution. Defaults to 0.0.
Reimplemented from itk::ImageSource< TOutputImage >.
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private |
Set/Get the mean of the Gaussian distribution. Defaults to 0.0.
Definition at line 116 of file itkAdditiveGaussianNoiseImageFilter.h.
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private |
Set/Get the mean of the Gaussian distribution. Defaults to 0.0.
Definition at line 117 of file itkAdditiveGaussianNoiseImageFilter.h.