ITK
4.2.0
Insight Segmentation and Registration Toolkit
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#include <itkHausdorffDistanceImageFilter.h>
Public Types | |
typedef SmartPointer< const Self > | ConstPointer |
typedef TInputImage1::IndexType | IndexType |
typedef TInputImage1::ConstPointer | InputImage1ConstPointer |
typedef TInputImage1::PixelType | InputImage1PixelType |
typedef TInputImage1::Pointer | InputImage1Pointer |
typedef TInputImage1 | InputImage1Type |
typedef TInputImage2::ConstPointer | InputImage2ConstPointer |
typedef TInputImage2::PixelType | InputImage2PixelType |
typedef TInputImage2::Pointer | InputImage2Pointer |
typedef TInputImage2 | InputImage2Type |
typedef SmartPointer< Self > | Pointer |
typedef NumericTraits < InputImage1PixelType > ::RealType | RealType |
typedef TInputImage1::RegionType | RegionType |
typedef HausdorffDistanceImageFilter | Self |
typedef TInputImage1::SizeType | SizeType |
typedef ImageToImageFilter < TInputImage1, TInputImage1 > | Superclass |
Public Types inherited from itk::ImageToImageFilter< TInputImage1, TInputImage1 > | |
typedef InputImageType::ConstPointer | InputImageConstPointer |
typedef InputImageType::PixelType | InputImagePixelType |
typedef InputImageType::Pointer | InputImagePointer |
typedef InputImageType::RegionType | InputImageRegionType |
typedef TInputImage1 | InputImageType |
typedef Superclass::OutputImagePixelType | OutputImagePixelType |
typedef Superclass::OutputImageRegionType | OutputImageRegionType |
Public Types inherited from itk::ImageSource< TInputImage1 > | |
typedef Superclass::DataObjectIdentifierType | DataObjectIdentifierType |
typedef DataObject::Pointer | DataObjectPointer |
typedef Superclass::DataObjectPointerArraySizeType | DataObjectPointerArraySizeType |
typedef OutputImageType::Pointer | OutputImagePointer |
typedef TInputImage1 | OutputImageType |
Public Types inherited from itk::ProcessObject | |
typedef std::vector < DataObjectPointer > | DataObjectPointerArray |
typedef std::vector < DataObjectIdentifierType > | NameArray |
Public Types inherited from itk::Object | |
Public Types inherited from itk::LightObject |
Static Public Member Functions | |
static Pointer | New () |
Static Public Attributes | |
static const unsigned int | ImageDimension = TInputImage1::ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage1, TInputImage1 > | |
static const unsigned int | InputImageDimension |
static const unsigned int | OutputImageDimension |
Static Public Attributes inherited from itk::ImageSource< TInputImage1 > |
Private Member Functions | |
HausdorffDistanceImageFilter (const Self &) | |
void | operator= (const Self &) |
Private Attributes | |
RealType | m_AverageHausdorffDistance |
RealType | m_HausdorffDistance |
bool | m_UseImageSpacing |
Additional Inherited Members | |
Protected Types inherited from itk::ImageToImageFilter< TInputImage1, TInputImage1 > | |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) > | InputToOutputRegionCopierType |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) > | OutputToInputRegionCopierType |
Computes the Hausdorff distance between the set of non-zero pixels of two images.
HausdorffDistanceImageFilter computes the distance between the set non-zero pixels of two images using the following formula:
where
is the directed Hausdorff distance and and are respectively the set of non-zero pixels in the first and second input images.
In particular, this filter uses the DirectedHausdorffImageFilter inside to compute the two directed distances and then select the largest of the two.
The Hausdorff distance measures the degree of mismatch between two sets and behaves like a metric over the set of all closed bounded sets - with properties of identity, symmetry and triangle inequality.
This filter requires the largest possible region of the first image and the same corresponding region in the second image. It behaves as filter with two inputs and one output. Thus it can be inserted in a pipeline with other filters. The filter passes the first input through unmodified.
This filter is templated over the two input image types. It assume both images have the same number of dimensions.
Definition at line 62 of file itkHausdorffDistanceImageFilter.h.
typedef SmartPointer< const Self > itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::ConstPointer |
Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >.
Definition at line 70 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage1::IndexType itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::IndexType |
Definition at line 88 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage1::ConstPointer itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage1ConstPointer |
Definition at line 83 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage1::PixelType itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage1PixelType |
Definition at line 90 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage1::Pointer itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage1Pointer |
Definition at line 81 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage1 itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage1Type |
Image related typedefs.
Definition at line 76 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage2::ConstPointer itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage2ConstPointer |
Definition at line 84 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage2::PixelType itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage2PixelType |
Definition at line 91 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage2::Pointer itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage2Pointer |
Definition at line 82 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage2 itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage2Type |
Definition at line 80 of file itkHausdorffDistanceImageFilter.h.
typedef SmartPointer< Self > itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::Pointer |
Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >.
Definition at line 69 of file itkHausdorffDistanceImageFilter.h.
typedef NumericTraits< InputImage1PixelType >::RealType itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::RealType |
Type to use form computations.
Definition at line 98 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage1::RegionType itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::RegionType |
Definition at line 86 of file itkHausdorffDistanceImageFilter.h.
typedef HausdorffDistanceImageFilter itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::Self |
Standard Self typedef
Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >.
Definition at line 67 of file itkHausdorffDistanceImageFilter.h.
typedef TInputImage1::SizeType itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::SizeType |
Definition at line 87 of file itkHausdorffDistanceImageFilter.h.
typedef ImageToImageFilter< TInputImage1, TInputImage1 > itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::Superclass |
Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >.
Definition at line 68 of file itkHausdorffDistanceImageFilter.h.
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End concept checking
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End concept checking
Definition at line 129 of file itkHausdorffDistanceImageFilter.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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Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.
Reimplemented from itk::ProcessObject.
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GenerateData.
Reimplemented from itk::ImageSource< TInputImage1 >.
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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< TInputImage1, TInputImage1 >.
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Return the computed Hausdorff distance.
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Return the computed Hausdorff distance.
const InputImage1Type* itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::GetInput1 | ( | void | ) |
Get the first input.
const InputImage2Type* itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::GetInput2 | ( | void | ) |
Get the second input.
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Runtime information support.
Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >.
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Method for creation through the object factory.
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< TInputImage1, TInputImage1 >.
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End concept checking
Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >.
void itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::SetInput1 | ( | const InputImage1Type * | image | ) |
Set the first input.
void itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::SetInput2 | ( | const InputImage2Type * | image | ) |
Set the second input.
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Set if image spacing should be used in computing distances.
itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::typedef | ( | Concept::HasNumericTraits< InputImage1PixelType > | ) |
Begin concept checking This class requires Input1HasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< InputImage1PixelType > )
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Image related typedefs.
Definition at line 95 of file itkHausdorffDistanceImageFilter.h.
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Definition at line 147 of file itkHausdorffDistanceImageFilter.h.
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Definition at line 146 of file itkHausdorffDistanceImageFilter.h.
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Definition at line 148 of file itkHausdorffDistanceImageFilter.h.