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ITK
5.0.0
Insight Segmentation and Registration Toolkit
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ITK
5.0.0
Insight Segmentation and Registration Toolkit
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#include <itkCastImageFilter.h>
Inheritance diagram for itk::CastImageFilter< TInputImage, TOutputImage >: Collaboration diagram for itk::CastImageFilter< TInputImage, TOutputImage >:Casts input pixels to output pixel type.
This filter is templated over the input image type and the output image type.
A typical use is to cast a
to a
This filter can also be used to cast a
to a
If you need to perform a dimensionaly reduction, you may want to use the ExtractImageFilter instead of the CastImageFilter.
Definition at line 97 of file itkCastImageFilter.h.
Public Types | |
| using | ConstPointer = SmartPointer< const Self > |
| using | OutputImageRegionType = typename Superclass::OutputImageRegionType |
| using | Pointer = SmartPointer< Self > |
| using | Self = CastImageFilter |
| 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 () |
| using itk::CastImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer< const Self > |
Definition at line 109 of file itkCastImageFilter.h.
| using itk::CastImageFilter< TInputImage, TOutputImage >::OutputImageRegionType = typename Superclass::OutputImageRegionType |
Definition at line 112 of file itkCastImageFilter.h.
| using itk::CastImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer< Self > |
Definition at line 108 of file itkCastImageFilter.h.
| using itk::CastImageFilter< TInputImage, TOutputImage >::Self = CastImageFilter |
Standard class type aliases.
Definition at line 104 of file itkCastImageFilter.h.
| using itk::CastImageFilter< TInputImage, TOutputImage >::Superclass = InPlaceImageFilter< TInputImage, TOutputImage > |
Definition at line 106 of file itkCastImageFilter.h.
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protected |
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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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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 >.
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overrideprotectedvirtual |
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 DynamicThreadedGenerateData(). 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 can be threaded, it should NOT provide a GenerateData() method but should provide a DynamicThreadedGenerateData() instead.
Reimplemented from itk::ImageSource< TOutputImage >.
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overrideprotectedvirtual |
Generate the information describing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.
Reimplemented from itk::ProcessObject.
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virtual |
Run-time type information (and related methods).
Reimplemented from itk::InPlaceImageFilter< TInputImage, TOutputImage >.
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static |
Method for creation through the object factory.
Referenced by itk::CannySegmentationLevelSetFunction< TImageType, TFeatureImageType >::CannySegmentationLevelSetFunction().
1.8.5
