ITK
5.0.0
Insight Segmentation and Registration Toolkit
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#include <itkBinaryImageToStatisticsLabelMapFilter.h>
a convenient class to convert a binary image to a label map and valuate the statistics attributes at once
This implementation was taken from the Insight Journal paper: https://hdl.handle.net/1926/584 or http://www.insight-journal.org/browse/publication/176
Definition at line 42 of file itkBinaryImageToStatisticsLabelMapFilter.h.
Public Types | |
using | ConstPointer = SmartPointer< const Self > |
using | FeatureImageConstPointer = typename FeatureImageType::ConstPointer |
using | FeatureImagePixelType = typename FeatureImageType::PixelType |
using | FeatureImagePointer = typename FeatureImageType::Pointer |
using | FeatureImageType = TFeatureImage |
using | InputImageConstPointer = typename InputImageType::ConstPointer |
using | InputImagePixelType = typename InputImageType::PixelType |
using | InputImagePointer = typename InputImageType::Pointer |
using | InputImageRegionType = typename InputImageType::RegionType |
using | InputImageType = TInputImage |
using | LabelizerType = BinaryImageToLabelMapFilter< InputImageType, OutputImageType > |
using | LabelObjectType = typename OutputImageType::LabelObjectType |
using | LabelObjectValuatorType = StatisticsLabelMapFilter< OutputImageType, FeatureImageType > |
using | OutputImageConstPointer = typename OutputImageType::ConstPointer |
using | OutputImagePixelType = typename OutputImageType::PixelType |
using | OutputImagePointer = typename OutputImageType::Pointer |
using | OutputImageRegionType = typename OutputImageType::RegionType |
using | OutputImageType = TOutputImage |
using | Pointer = SmartPointer< Self > |
using | Self = BinaryImageToStatisticsLabelMapFilter |
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 () |
Static Public Attributes | |
static constexpr unsigned int | ImageDimension = TInputImage::ImageDimension |
static constexpr unsigned int | InputImageDimension = TInputImage::ImageDimension |
static constexpr unsigned int | OutputImageDimension = TInputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
static constexpr unsigned int | InputImageDimension = TInputImage::ImageDimension |
static constexpr unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageSource< TOutputImage > | |
static constexpr unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Private Attributes | |
bool | m_ComputeFeretDiameter |
bool | m_ComputeHistogram |
bool | m_ComputePerimeter |
bool | m_FullyConnected |
InputImagePixelType | m_InputForegroundValue |
unsigned int | m_NumberOfBins |
OutputImagePixelType | m_OutputBackgroundValue |
Additional Inherited Members | |
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
using | InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension > |
using | OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension > |
Static Protected Member Functions inherited from itk::ImageSource< TOutputImage > | |
static const ImageRegionSplitterBase * | GetGlobalDefaultSplitter () |
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION | ThreaderCallback (void *arg) |
Protected Attributes inherited from itk::ImageSource< TOutputImage > | |
bool | m_DynamicMultiThreading |
Protected Attributes inherited from itk::ProcessObject | |
TimeStamp | m_OutputInformationMTime |
bool | m_Updating |
Protected Attributes inherited from itk::LightObject | |
std::atomic< int > | m_ReferenceCount |
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::ConstPointer = SmartPointer< const Self > |
Definition at line 52 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImageConstPointer = typename FeatureImageType::ConstPointer |
Definition at line 70 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImagePixelType = typename FeatureImageType::PixelType |
Definition at line 71 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImagePointer = typename FeatureImageType::Pointer |
Definition at line 69 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::FeatureImageType = TFeatureImage |
Definition at line 68 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageConstPointer = typename InputImageType::ConstPointer |
Definition at line 57 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImagePixelType = typename InputImageType::PixelType |
Definition at line 59 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImagePointer = typename InputImageType::Pointer |
Definition at line 56 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageRegionType = typename InputImageType::RegionType |
Definition at line 58 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::InputImageType = TInputImage |
Some convenient type alias.
Definition at line 55 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::LabelizerType = BinaryImageToLabelMapFilter< InputImageType, OutputImageType > |
Definition at line 78 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::LabelObjectType = typename OutputImageType::LabelObjectType |
Definition at line 66 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::LabelObjectValuatorType = StatisticsLabelMapFilter< OutputImageType, FeatureImageType > |
Definition at line 79 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageConstPointer = typename OutputImageType::ConstPointer |
Definition at line 63 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImagePixelType = typename OutputImageType::PixelType |
Definition at line 65 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImagePointer = typename OutputImageType::Pointer |
Definition at line 62 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageRegionType = typename OutputImageType::RegionType |
Definition at line 64 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::OutputImageType = TOutputImage |
Definition at line 61 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::Pointer = SmartPointer< Self > |
Definition at line 51 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::Self = BinaryImageToStatisticsLabelMapFilter |
Standard class type aliases.
Definition at line 49 of file itkBinaryImageToStatisticsLabelMapFilter.h.
using itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::Superclass = ImageToImageFilter< TInputImage, TOutputImage > |
Definition at line 50 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Set/Get whether the maximum Feret diameter should be computed or not. The defaut value is false, because of the high computation time required.
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Set/Get whether the maximum Feret diameter should be computed or not. The defaut value is false, because of the high computation time required.
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Set/Get whether the histogram should be attached to the label object or not. This option defaults to true
, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.
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Set/Get whether the histogram should be attached to the label object or not. This option defaults to true
, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.
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Set/Get whether the perimeter should be computed or not. The defaut value is false, because of the high computation time required.
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Set/Get whether the perimeter should be computed or not. The defaut value is false, because of the high computation time required.
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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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BinaryImageToStatisticsLabelMapFilter will produce the entire output.
Reimplemented from itk::ProcessObject.
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Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.
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Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.
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Single-threaded version of GenerateData. This filter delegates to GrayscaleGeodesicErodeImageFilter.
Reimplemented from itk::ImageSource< TOutputImage >.
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BinaryImageToStatisticsLabelMapFilter needs the entire input be available. Thus, it needs to provide an implementation of GenerateInputRequestedRegion().
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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Set/Get whether the maximum Feret diameter should be computed or not. The defaut value is false, because of the high computation time required.
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Set/Get whether the histogram should be attached to the label object or not. This option defaults to true
, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.
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Set/Get whether the perimeter should be computed or not. The defaut value is false, because of the high computation time required.
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Get the feature image
Definition at line 152 of file itkBinaryImageToStatisticsLabelMapFilter.h.
References itk::ProcessObject::GetInput().
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Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.
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Set/Get the value used as "foreground" in the output image. Defaults to NumericTraits<PixelType>::max().
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Runtime information support.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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Set/Get the number of bins in the histogram. Note that the histogram is used to compute the median value, and that this option may have an effect on the value of the median.
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Set/Get the value used as "background" in the output image. Defaults to NumericTraits<PixelType>::NonpositiveMin().
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Standard New method.
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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 whether the maximum Feret diameter should be computed or not. The defaut value is false, because of the high computation time required.
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Set/Get whether the histogram should be attached to the label object or not. This option defaults to true
, but because the histogram may take a lot of memory compared to the other attributes, this option is useful to reduce the memory usage when the histogram is not required.
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Set/Get whether the perimeter should be computed or not. The defaut value is false, because of the high computation time required.
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Set the feature image
Definition at line 145 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Set/Get whether the connected components are defined strictly by face connectivity or by face+edge+vertex connectivity. Default is FullyConnectedOff. For objects that are 1 pixel wide, use FullyConnectedOn.
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Set the input image
Definition at line 158 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Set the feature image
Definition at line 164 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Set/Get the value used as "foreground" in the output image. Defaults to NumericTraits<PixelType>::max().
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Set/Get the number of bins in the histogram. Note that the histogram is used to compute the median value, and that this option may have an effect on the value of the median.
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Set/Get the value used as "background" in the output image. Defaults to NumericTraits<PixelType>::NonpositiveMin().
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Definition at line 76 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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ImageDimension constants
Definition at line 74 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Definition at line 210 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Definition at line 213 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Definition at line 211 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Definition at line 207 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Definition at line 209 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Definition at line 212 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Definition at line 208 of file itkBinaryImageToStatisticsLabelMapFilter.h.
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Definition at line 75 of file itkBinaryImageToStatisticsLabelMapFilter.h.