ITK
4.6.0
Insight Segmentation and Registration Toolkit
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#include <itkStatisticsImageFilter.h>
Compute min. max, variance and mean of an Image.
StatisticsImageFilter computes the minimum, maximum, sum, mean, variance sigma of an image. The filter needs all of its input image. It behaves as a filter with an input and output. Thus it can be inserted in a pipline with other filters and the statistics will only be recomputed if a downstream filter changes.
The filter passes its input through unmodified. The filter is threaded. It computes statistics in each thread then combines them in its AfterThreadedGenerate method.
Definition at line 49 of file itkStatisticsImageFilter.h.
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 () |
Static Public Attributes | |
static const unsigned int | ImageDimension = TInputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TInputImage > | |
static const unsigned int | InputImageDimension |
static const unsigned int | OutputImageDimension |
Static Public Attributes inherited from itk::ImageSource< TInputImage > | |
static const unsigned int | OutputImageDimension |
Private Member Functions | |
void | operator= (const Self &) |
StatisticsImageFilter (const Self &) | |
Private Attributes | |
Array< SizeValueType > | m_Count |
Array< RealType > | m_SumOfSquares |
Array< PixelType > | m_ThreadMax |
Array< PixelType > | m_ThreadMin |
Array< RealType > | m_ThreadSum |
typedef SmartPointer< const Self > itk::StatisticsImageFilter< TInputImage >::ConstPointer |
Definition at line 57 of file itkStatisticsImageFilter.h.
typedef DataObject::Pointer itk::StatisticsImageFilter< TInputImage >::DataObjectPointer |
Smart Pointer type to a DataObject.
Definition at line 81 of file itkStatisticsImageFilter.h.
typedef ProcessObject::DataObjectPointerArraySizeType itk::StatisticsImageFilter< TInputImage >::DataObjectPointerArraySizeType |
Make a DataObject of the correct type to be used as the specified output.
Definition at line 137 of file itkStatisticsImageFilter.h.
typedef TInputImage::IndexType itk::StatisticsImageFilter< TInputImage >::IndexType |
Definition at line 70 of file itkStatisticsImageFilter.h.
typedef TInputImage::Pointer itk::StatisticsImageFilter< TInputImage >::InputImagePointer |
Image related typedefs.
Definition at line 63 of file itkStatisticsImageFilter.h.
typedef SimpleDataObjectDecorator< PixelType > itk::StatisticsImageFilter< TInputImage >::PixelObjectType |
Definition at line 85 of file itkStatisticsImageFilter.h.
typedef TInputImage::PixelType itk::StatisticsImageFilter< TInputImage >::PixelType |
Definition at line 71 of file itkStatisticsImageFilter.h.
typedef SmartPointer< Self > itk::StatisticsImageFilter< TInputImage >::Pointer |
Definition at line 56 of file itkStatisticsImageFilter.h.
typedef SimpleDataObjectDecorator< RealType > itk::StatisticsImageFilter< TInputImage >::RealObjectType |
Type of DataObjects used for scalar outputs
Definition at line 84 of file itkStatisticsImageFilter.h.
typedef NumericTraits< PixelType >::RealType itk::StatisticsImageFilter< TInputImage >::RealType |
Type to use for computations.
Definition at line 78 of file itkStatisticsImageFilter.h.
typedef TInputImage::RegionType itk::StatisticsImageFilter< TInputImage >::RegionType |
Definition at line 68 of file itkStatisticsImageFilter.h.
typedef StatisticsImageFilter itk::StatisticsImageFilter< TInputImage >::Self |
Standard Self typedef
Definition at line 54 of file itkStatisticsImageFilter.h.
typedef TInputImage::SizeType itk::StatisticsImageFilter< TInputImage >::SizeType |
Definition at line 69 of file itkStatisticsImageFilter.h.
typedef ImageToImageFilter< TInputImage, TInputImage > itk::StatisticsImageFilter< TInputImage >::Superclass |
Definition at line 55 of file itkStatisticsImageFilter.h.
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Definition at line 150 of file itkStatisticsImageFilter.h.
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Do final mean and variance computation from data accumulated in threads.
Reimplemented from itk::ImageSource< TInputImage >.
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Pass the input through unmodified. Do this by Grafting in the AllocateOutputs method.
Reimplemented from itk::ImageSource< TInputImage >.
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Initialize some accumulators before the threads run.
Reimplemented from itk::ImageSource< TInputImage >.
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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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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, TInputImage >.
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Return the computed Maximum.
Definition at line 96 of file itkStatisticsImageFilter.h.
References itk::SimpleDataObjectDecorator< T >::Get(), and itk::StatisticsImageFilter< TInputImage >::GetMaximumOutput().
PixelObjectType* itk::StatisticsImageFilter< TInputImage >::GetMaximumOutput | ( | ) |
Return the computed Maximum.
Referenced by itk::StatisticsImageFilter< TInputImage >::GetMaximum().
const PixelObjectType* itk::StatisticsImageFilter< TInputImage >::GetMaximumOutput | ( | ) | const |
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Return the computed Mean.
Definition at line 104 of file itkStatisticsImageFilter.h.
References itk::SimpleDataObjectDecorator< T >::Get(), and itk::StatisticsImageFilter< TInputImage >::GetMeanOutput().
RealObjectType* itk::StatisticsImageFilter< TInputImage >::GetMeanOutput | ( | ) |
Return the computed Mean.
Referenced by itk::StatisticsImageFilter< TInputImage >::GetMean().
const RealObjectType* itk::StatisticsImageFilter< TInputImage >::GetMeanOutput | ( | ) | const |
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Return the computed Minimum.
Definition at line 88 of file itkStatisticsImageFilter.h.
References itk::SimpleDataObjectDecorator< T >::Get(), and itk::StatisticsImageFilter< TInputImage >::GetMinimumOutput().
PixelObjectType* itk::StatisticsImageFilter< TInputImage >::GetMinimumOutput | ( | ) |
Return the computed Minimum.
Referenced by itk::StatisticsImageFilter< TInputImage >::GetMinimum().
const PixelObjectType* itk::StatisticsImageFilter< TInputImage >::GetMinimumOutput | ( | ) | const |
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Runtime information support.
Reimplemented from itk::ImageToImageFilter< TInputImage, TInputImage >.
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Return the computed Standard Deviation.
Definition at line 112 of file itkStatisticsImageFilter.h.
References itk::SimpleDataObjectDecorator< T >::Get(), and itk::StatisticsImageFilter< TInputImage >::GetSigmaOutput().
RealObjectType* itk::StatisticsImageFilter< TInputImage >::GetSigmaOutput | ( | ) |
Return the computed Standard Deviation.
Referenced by itk::StatisticsImageFilter< TInputImage >::GetSigma().
const RealObjectType* itk::StatisticsImageFilter< TInputImage >::GetSigmaOutput | ( | ) | const |
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Return the compute Sum.
Definition at line 128 of file itkStatisticsImageFilter.h.
References itk::SimpleDataObjectDecorator< T >::Get(), and itk::StatisticsImageFilter< TInputImage >::GetSumOutput().
RealObjectType* itk::StatisticsImageFilter< TInputImage >::GetSumOutput | ( | ) |
Return the compute Sum.
Referenced by itk::StatisticsImageFilter< TInputImage >::GetSum().
const RealObjectType* itk::StatisticsImageFilter< TInputImage >::GetSumOutput | ( | ) | const |
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Return the computed Variance.
Definition at line 120 of file itkStatisticsImageFilter.h.
References itk::SimpleDataObjectDecorator< T >::Get(), and itk::StatisticsImageFilter< TInputImage >::GetVarianceOutput().
RealObjectType* itk::StatisticsImageFilter< TInputImage >::GetVarianceOutput | ( | ) |
Return the computed Variance.
Referenced by itk::StatisticsImageFilter< TInputImage >::GetVariance().
const RealObjectType* itk::StatisticsImageFilter< TInputImage >::GetVarianceOutput | ( | ) | const |
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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 itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().
Reimplemented from itk::ImageSource< TInputImage >.
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Method for creation through the object factory.
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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, TInputImage >.
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Multi-thread version GenerateData.
itk::StatisticsImageFilter< TInputImage >::typedef | ( | Concept::HasNumericTraits< PixelType > | ) |
This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< PixelType > )
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Image related typedefs.
Definition at line 75 of file itkStatisticsImageFilter.h.
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Definition at line 182 of file itkStatisticsImageFilter.h.
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Definition at line 181 of file itkStatisticsImageFilter.h.
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Definition at line 184 of file itkStatisticsImageFilter.h.
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Definition at line 183 of file itkStatisticsImageFilter.h.
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Definition at line 180 of file itkStatisticsImageFilter.h.