ITK
5.0.0
Insight Segmentation and Registration Toolkit
|
#include <itkShotNoiseImageFilter.h>
Alter an image with shot noise.
The shot noise follows a Poisson distribution:
The intensities in the image can be scaled by a user provided value to map pixel values to the actual number of particles. The scaling can be seen as the inverse of the gain used during the acquisition. The noisy signal is then scaled back to its input intensity range:
The Poisson-distributed variable is computed by using the algorithm:
This algorithm is very inefficient for large values of , though. Fortunately, the Poisson distribution can be accurately approximated by a Gaussian distribution of mean and variance when is large enough. In this implementation, this value is considered to be 50. This leads to the faster algorithm:
This code was contributed in the Insight Journal paper "Noise Simulation". https://hdl.handle.net/10380/3158
Definition at line 93 of file itkShotNoiseImageFilter.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 = ShotNoiseImageFilter |
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::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 () |
Private Attributes | |
double | m_Scale { 1.0 } |
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self> |
Definition at line 103 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::InputImageConstPointer = typename InputImageType::ConstPointer |
Definition at line 120 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::InputImagePixelType = typename InputImageType::PixelType |
Definition at line 122 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::InputImagePointer = typename InputImageType::Pointer |
Definition at line 119 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::InputImageRegionType = typename InputImageType::RegionType |
Definition at line 121 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage |
Some convenient type alias.
Definition at line 118 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::OutputImagePixelType = typename Superclass::OutputImagePixelType |
Definition at line 115 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::OutputImagePointer = typename Superclass::OutputImagePointer |
Definition at line 113 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::OutputImageRegionType = typename Superclass::OutputImageRegionType |
Definition at line 114 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::OutputImageType = typename Superclass::OutputImageType |
Superclass type alias.
Definition at line 112 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self> |
Definition at line 102 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::Self = ShotNoiseImageFilter |
Standard class type aliases.
Definition at line 100 of file itkShotNoiseImageFilter.h.
using itk::ShotNoiseImageFilter< TInputImage, TOutputImage >::Superclass = NoiseBaseImageFilter< TInputImage,TOutputImage > |
Definition at line 101 of file itkShotNoiseImageFilter.h.
|
protected |
Begin concept checking End concept checking
|
overrideprotecteddefault |
|
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.
|
overrideprotectedvirtual |
If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData() or DynamicThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call (Dynamic)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 (Dynamic)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 (Dynamic)ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The (Dynamic)ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. (Dynamic)ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).
DynamicThreadedGenerateData() is the newer variant without threadId, and is the preferred signature, which is called by default. This variant can split the requested region into different number of pieces depending on current multi-processing load, which allows better load balancing. The non-dynamic (also known as classic) ThreadedGenerateData() signature has threadId, and number of pieces to be split into is known in advance. It is activated by calling this->DynamicMultiThreadingOff(); in derived class constructor. It should be used when the multi-threaded algorithm needs to pre-allocate some data structure with size dependent on the number of pieces (also known as chunks, work units, and sometimes also incorrectly as threads). Only PlatformMultiThreader guarantees that each piece will be processed in its own specific thread. Pool and TBB multi-threaders maintain a pool of threads (normally equal to number of processing cores) which they use to process the pieces. This normally results in a single thread being reused to process multiple work units.
Reimplemented from itk::ImageSource< TOutputImage >.
|
virtual |
Run-time type information (and related methods).
Reimplemented from itk::NoiseBaseImageFilter< TInputImage, TOutputImage >.
|
virtual |
Set/Get the value to map the pixel value to the actual particle counting. The scaling can be seen as the inverse of the gain used during the acquisition. The noisy signal is then scaled back to its input intensity range. Defaults to 1.0.
|
static |
Method for creation through the object factory.
|
overrideprotectedvirtual |
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::NoiseBaseImageFilter< TInputImage, TOutputImage >.
|
virtual |
Set/Get the value to map the pixel value to the actual particle counting. The scaling can be seen as the inverse of the gain used during the acquisition. The noisy signal is then scaled back to its input intensity range. Defaults to 1.0.
|
private |
Definition at line 151 of file itkShotNoiseImageFilter.h.