ITK
4.2.0
Insight Segmentation and Registration Toolkit
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#include <itkNormalizeToConstantImageFilter.h>
Static Public Member Functions | |
static Pointer | New () |
Static Public Attributes | |
static const unsigned int | InputImageDimension = TInputImage::ImageDimension |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
static const unsigned int | ImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
Static Public Attributes inherited from itk::ImageSource< TOutputImage > |
Private Member Functions | |
NormalizeToConstantImageFilter (const Self &) | |
void | operator= (const Self &) |
Private Attributes | |
RealType | m_Constant |
Additional Inherited Members | |
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) > | InputToOutputRegionCopierType |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) > | OutputToInputRegionCopierType |
Scales image pixel intensities to make the sum of all pixels equal a user-defined constant.
The default value of the constant is 1. It can be changed with SetConstant().
This transform is especially useful for normalizing a convolution kernel.
This code was contributed in the Insight Journal paper: "FFT based convolution" by Lehmann G. http://hdl.handle.net/10380/3154
Definition at line 55 of file itkNormalizeToConstantImageFilter.h.
typedef SmartPointer<const Self> itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::ConstPointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 65 of file itkNormalizeToConstantImageFilter.h.
typedef InputImageType::IndexType itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::IndexType |
Definition at line 77 of file itkNormalizeToConstantImageFilter.h.
typedef InputImageType::ConstPointer itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::InputImageConstPointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 71 of file itkNormalizeToConstantImageFilter.h.
typedef InputImageType::PixelType itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::InputImagePixelType |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 72 of file itkNormalizeToConstantImageFilter.h.
typedef InputImageType::Pointer itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::InputImagePointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 70 of file itkNormalizeToConstantImageFilter.h.
typedef TInputImage itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::InputImageType |
Some convenient typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 68 of file itkNormalizeToConstantImageFilter.h.
typedef OutputImageType::ConstPointer itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::OutputImageConstPointer |
Definition at line 74 of file itkNormalizeToConstantImageFilter.h.
typedef OutputImageType::PixelType itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::OutputImagePixelType |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 75 of file itkNormalizeToConstantImageFilter.h.
typedef OutputImageType::Pointer itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::OutputImagePointer |
Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 73 of file itkNormalizeToConstantImageFilter.h.
typedef TOutputImage itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::OutputImageType |
Some convenient typedefs.
Reimplemented from itk::ImageSource< TOutputImage >.
Definition at line 69 of file itkNormalizeToConstantImageFilter.h.
typedef SmartPointer<Self> itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::Pointer |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 64 of file itkNormalizeToConstantImageFilter.h.
typedef NumericTraits<InputImagePixelType>::RealType itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::RealType |
Definition at line 80 of file itkNormalizeToConstantImageFilter.h.
typedef InputImageType::RegionType itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::RegionType |
Definition at line 76 of file itkNormalizeToConstantImageFilter.h.
typedef NormalizeToConstantImageFilter itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::Self |
Standard class typedefs.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 60 of file itkNormalizeToConstantImageFilter.h.
typedef InputImageType::SizeType itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::SizeType |
Definition at line 78 of file itkNormalizeToConstantImageFilter.h.
typedef ImageToImageFilter<TInputImage, TOutputImage> itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::Superclass |
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 62 of file itkNormalizeToConstantImageFilter.h.
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End concept checking
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Definition at line 114 of file itkNormalizeToConstantImageFilter.h.
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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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A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.
Reimplemented from itk::ImageSource< TOutputImage >.
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What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierarchy. Up till now, the base assumption has been that the largest possible region will be requested of the input.
This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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Set/get the normalization constant.
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Runtime information support.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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Standard New method.
Reimplemented from itk::Object.
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PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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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::ImageToImageFilter< TInputImage, TOutputImage >.
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Set/get the normalization constant.
itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::typedef | ( | Concept::HasPixelTraits< InputImagePixelType > | ) |
Begin concept checking This class requires InputHasPixelTraitsCheck in the form of (Concept::HasPixelTraits<InputImagePixelType>)
itk::NormalizeToConstantImageFilter< TInputImage, TOutputImage >::typedef | ( | Concept::HasNumericTraits< InputImagePixelType > | ) |
This class requires InputHasNumericTraitsCheck in the form of (Concept::HasNumericTraits<InputImagePixelType>)
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ImageDimension constants
Definition at line 88 of file itkNormalizeToConstantImageFilter.h.
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ImageDimension constants
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 84 of file itkNormalizeToConstantImageFilter.h.
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Definition at line 126 of file itkNormalizeToConstantImageFilter.h.
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ImageDimension constants
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Definition at line 86 of file itkNormalizeToConstantImageFilter.h.