/usr/include/ITK-4.5/itkImageSource.h is in libinsighttoolkit4-dev 4.5.0-3.
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*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
/*=========================================================================
*
* Portions of this file are subject to the VTK Toolkit Version 3 copyright.
*
* Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
*
* For complete copyright, license and disclaimer of warranty information
* please refer to the NOTICE file at the top of the ITK source tree.
*
*=========================================================================*/
#ifndef __itkImageSource_h
#define __itkImageSource_h
#include "itkProcessObject.h"
#include "itkImage.h"
#include "itkImageRegionSplitterBase.h"
namespace itk
{
/** \class ImageSourceCommon
* \brief Secondary bass class of ImageSource common between templates
*
* This class provides common non-templated code which can be compiled
* and used by all templated versions of ImageSource.
*
* This class must be inherited privately, and light-weight adapting
* of methods is required for virtual methods or non-private methods
* for the ImageSource interface.
*
* \ingroup ITKCommon
*/
struct ITKCommon_EXPORT ImageSourceCommon
{
/**
* Provide access to a common static object for image region splitting
*/
static const ImageRegionSplitterBase* GetGlobalDefaultSplitter(void);
};
/** \class ImageSource
* \brief Base class for all process objects that output image data.
*
* ImageSource is the base class for all process objects that output
* image data. Specifically, this class defines the GetOutput() method
* that returns a pointer to the output image. The class also defines
* some internal private data members that are used to manage streaming
* of data.
*
* Memory management in an ImageSource is slightly different than a
* standard ProcessObject. ProcessObject's always release the bulk
* data associated with their output prior to GenerateData() being
* called. ImageSources default to not releasing the bulk data incase
* that particular memory block is large enough to hold the new output
* values. This avoids unnecessary deallocation/allocation
* sequences. ImageSource's can be forced to use a memory management
* model similar to the default ProcessObject behaviour by calling
* ProcessObject::ReleaseDataBeforeUpdateFlagOn(). A user may want to
* set this flag to limit peak memory usage during a pipeline update.
*
* \ingroup DataSources
* \ingroup ITKCommon
*
* \wiki
* \wikiexample{Developer/ImageSource,Produce an image programmatically.}
* \endwiki
*/
template< typename TOutputImage >
class ImageSource
: public ProcessObject, private ImageSourceCommon
{
public:
/** Standard class typedefs. */
typedef ImageSource Self;
typedef ProcessObject Superclass;
typedef SmartPointer< Self > Pointer;
typedef SmartPointer< const Self > ConstPointer;
/** Smart Pointer type to a DataObject. */
typedef DataObject::Pointer DataObjectPointer;
typedef Superclass::DataObjectIdentifierType DataObjectIdentifierType;
typedef Superclass::DataObjectPointerArraySizeType DataObjectPointerArraySizeType;
/** Run-time type information (and related methods). */
itkTypeMacro(ImageSource, ProcessObject);
/** Some convenient typedefs. */
typedef TOutputImage OutputImageType;
typedef typename OutputImageType::Pointer OutputImagePointer;
typedef typename OutputImageType::RegionType OutputImageRegionType;
typedef typename OutputImageType::PixelType OutputImagePixelType;
/** ImageDimension constant */
itkStaticConstMacro(OutputImageDimension, unsigned int,
TOutputImage::ImageDimension);
/** Get the output data of this process object. The output of this
* function is not valid until an appropriate Update() method has
* been called, either explicitly or implicitly. Both the filter
* itself and the data object have Update() methods, and both
* methods update the data. Here are three ways to use
* GetOutput() and make sure the data is valid. In these
* examples, \a image is a pointer to some Image object, and the
* particular ProcessObjects involved are filters. The same
* examples apply to non-image (e.g. Mesh) data as well.
*
* \code
* anotherFilter->SetInput( someFilter->GetOutput() );
* anotherFilter->Update();
* \endcode
*
* In this situation, \a someFilter and \a anotherFilter are said
* to constitute a \b pipeline.
*
* \code
* image = someFilter->GetOutput();
* image->Update();
* \endcode
*
* \code
* someFilter->Update();
* image = someFilter->GetOutput();
* \endcode
* (In the above example, the two lines of code can be in
* either order.)
*
* Note that Update() is not called automatically except within a
* pipeline as in the first example. When \b streaming (using a
* StreamingImageFilter) is activated, it may be more efficient to
* use a pipeline than to call Update() once for each filter in
* turn.
*
* For an image, the data generated is for the requested
* Region, which can be set using ImageBase::SetRequestedRegion().
* By default, the largest possible region is requested.
*
* For Filters which have multiple outputs of different types, the
* GetOutput() method assumes the output is of OutputImageType. For
* the GetOutput(unsigned int) method, a dynamic_cast is performed
* incase the filter has outputs of different types or image
* types. Derived classes should have names get methods for these
* outputs.
*/
OutputImageType * GetOutput(void);
const OutputImageType * GetOutput(void) const;
OutputImageType * GetOutput(unsigned int idx);
/** Graft the specified DataObject onto this ProcessObject's output.
* This method grabs a handle to the specified DataObject's bulk
* data to used as its output's own bulk data. It also copies the
* region ivars (RequestedRegion, BufferedRegion,
* LargestPossibleRegion) and meta-data (Spacing, Origin) from the
* specified data object into this filter's output data object. Most
* importantly, however, it leaves the Source ivar untouched so the
* original pipeline routing is intact. This method is used when a
* process object is implemented using a mini-pipeline which is
* defined in its GenerateData() method. The usage is:
*
* \code
* // setup the mini-pipeline to process the input to this filter
* firstFilterInMiniPipeline->SetInput( this->GetInput() );
* // setup the mini-pipeline to calculate the correct regions
* // and write to the appropriate bulk data block
* lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );
*
* // execute the mini-pipeline
* lastFilterInMiniPipeline->Update();
*
* // graft the mini-pipeline output back onto this filter's output.
* // this is needed to get the appropriate regions passed back.
* this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );
* \endcode
*
* For proper pipeline execution, a filter using a mini-pipeline
* must implement the GenerateInputRequestedRegion(),
* GenerateOutputRequestedRegion(), GenerateOutputInformation() and
* EnlargeOutputRequestedRegion() methods as necessary to reflect
* how the mini-pipeline will execute (in other words, the outer
* filter's pipeline mechanism must be consistent with what the
* mini-pipeline will do).
* */
virtual void GraftOutput(DataObject *output);
/** Graft the specified data object onto this ProcessObject's named
* output. This is similar to the GraftOutput method except it
* allows you to specify which output is affected.
* See the GraftOutput for general usage information.
*/
virtual void GraftOutput(const DataObjectIdentifierType & key, DataObject *output);
/** Graft the specified data object onto this ProcessObject's idx'th
* output. This is similar to the GraftOutput method except it
* allows you to specify which output is affected. The specified index
* must be a valid output number (less than
* ProcessObject::GetNumberOfIndexedOutputs()). See the GraftOutput for
* general usage information. */
virtual void GraftNthOutput(unsigned int idx, DataObject *output);
/** Make a DataObject of the correct type to used as the specified
* output. Every ProcessObject subclass must be able to create a
* DataObject that can be used as a specified output. This method
* is automatically called when DataObject::DisconnectPipeline() is
* called. DataObject::DisconnectPipeline, disconnects a data object
* from being an output of its current source. When the data object
* is disconnected, the ProcessObject needs to construct a replacement
* output data object so that the ProcessObject is in a valid state.
* So DataObject::DisconnectPipeline eventually calls
* ProcessObject::MakeOutput. Note that MakeOutput always returns a
* SmartPointer to a DataObject. If a subclass of ImageSource has
* multiple outputs of different types, then that class must provide
* an implementation of MakeOutput(). */
using Superclass::MakeOutput;
virtual ProcessObject::DataObjectPointer MakeOutput(ProcessObject::DataObjectPointerArraySizeType idx);
protected:
ImageSource();
virtual ~ImageSource() {}
/** 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.
*
* \sa ThreadedGenerateData() */
virtual void GenerateData();
/** If an imaging filter can be implemented as a multithreaded
* algorithm, the filter will provide an implementation of
* ThreadedGenerateData(). This superclass will automatically split
* the output image into a number of pieces, spawn multiple threads,
* and call 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
* 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
* ThreadedGenerateData() method as its implementation, then the
* output memory will allocated automatically by this superclass.
* The ThreadedGenerateData() method should only produce the output
* specified by "outputThreadRegion"
* parameter. ThreadedGenerateData() cannot write to any other
* portion of the output image (as this is responsibility of a
* different thread).
*
* \sa GenerateData(), SplitRequestedRegion() */
virtual
void ThreadedGenerateData(const OutputImageRegionType & outputRegionForThread,
ThreadIdType threadId);
/** The GenerateData method normally allocates the buffers for all of the
* outputs of a filter. Some filters may want to override this default
* behavior. For example, a filter may have multiple outputs with
* varying resolution. Or a filter may want to process data in place by
* grafting its input to its output. */
virtual void AllocateOutputs();
/** If an imaging filter needs to perform processing after the buffer
* has been allocated but before threads are spawned, the filter can
* can provide an implementation for BeforeThreadedGenerateData(). The
* execution flow in the default GenerateData() method will be:
* 1) Allocate the output buffer
* 2) Call BeforeThreadedGenerateData()
* 3) Spawn threads, calling ThreadedGenerateData() in each thread.
* 4) Call AfterThreadedGenerateData()
* Note that this flow of control is only available if a filter provides
* a ThreadedGenerateData() method and NOT a GenerateData() method. */
virtual void BeforeThreadedGenerateData() {}
/** If an imaging filter needs to perform processing after all
* processing threads have completed, the filter can can provide an
* implementation for AfterThreadedGenerateData(). The execution
* flow in the default GenerateData() method will be:
* 1) Allocate the output buffer
* 2) Call BeforeThreadedGenerateData()
* 3) Spawn threads, calling ThreadedGenerateData() in each thread.
* 4) Call AfterThreadedGenerateData()
* Note that this flow of control is only available if a filter provides
* a ThreadedGenerateData() method and NOT a GenerateData() method. */
virtual void AfterThreadedGenerateData() {}
/** \brief Returns the default image region splitter
*
* This is an adapter function from the private common base class to
* the interface of this class.
*/
static const ImageRegionSplitterBase* GetGlobalDefaultSplitter()
{
return ImageSourceCommon::GetGlobalDefaultSplitter();
}
/** \brief Get the image splitter to split the image for multi-threading.
*
* The Splitter object divides the image into regions for threading
* or streaming. The algorithms on how to split an images are
* separated into class so that they can be easily be reused. When
* deriving from this class to write a filter consideration to the
* algorithm used to divide the image should be made. If a change is
* desired this method should be overridden to return the
* appropriate object.
*/
virtual const ImageRegionSplitterBase* GetImageRegionSplitter(void) const;
/** Split the output's RequestedRegion into "num" pieces, returning
* region "i" as "splitRegion". This method is called concurrently
* "num" times. The regions must not overlap. The method returns the number of pieces that
* the routine is capable of splitting the output RequestedRegion,
* i.e. return value is less than or equal to "num".
*
* To override the algorithm used split the image this method should
* no longer be overridden. It stead the algorithm should be
* implemented in a ImageRegionSplitter class, and the
* GetImageRegionSplitter should overridden to return the splitter
* object with the desired algorithm.
*
* \sa GetImageRegionSplitter
**/
virtual
unsigned int SplitRequestedRegion(unsigned int i, unsigned int num, OutputImageRegionType & splitRegion);
/** Static function used as a "callback" by the MultiThreader. The threading
* library will call this routine for each thread, which will delegate the
* control to ThreadedGenerateData(). */
static ITK_THREAD_RETURN_TYPE ThreaderCallback(void *arg);
/** Internal structure used for passing image data into the threading library
*/
struct ThreadStruct {
Pointer Filter;
};
private:
ImageSource(const Self &); //purposely not implemented
void operator=(const Self &); //purposely not implemented
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkImageSource.hxx"
#endif
#endif
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