ITK
4.3.0
Insight Segmentation and Registration Toolkit
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#include <itkDiscreteGaussianDerivativeImageFilter.h>
Calculates image derivatives using discrete derivative gaussian kernels. This filter calculates Gaussian derivative by separable convolution of an image and a discrete Gaussian derivative operator (kernel).
The Gaussian operators used here were described by Tony Lindeberg (Discrete Scale-Space Theory and the Scale-Space Primal Sketch. Dissertation. Royal Institute of Technology, Stockholm, Sweden. May 1991.)
The variance or standard deviation (sigma) will be evaluated as pixel units if SetUseImageSpacing is off (false) or as physical units if SetUseImageSpacing is on (true, default). The variance can be set independently in each dimension.
When the Gaussian kernel is small, this filter tends to run faster than itk::RecursiveGaussianImageFilter.
This implementation was taken from the Insight Journal paper: http://hdl.handle.net/1926/1290
Definition at line 60 of file itkDiscreteGaussianDerivativeImageFilter.h.
Static Public Member Functions | |
static Pointer | New () |
Static Public Attributes | |
static const unsigned int | ImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
static const unsigned int | InputImageDimension = TInputImage::ImageDimension |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Static Public Attributes inherited from itk::ImageSource< TOutputImage > | |
static const unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
Private Member Functions | |
DiscreteGaussianDerivativeImageFilter (const Self &) | |
void | operator= (const Self &) |
Private Attributes | |
unsigned int | m_InternalNumberOfStreamDivisions |
ArrayType | m_MaximumError |
int | m_MaximumKernelWidth |
bool | m_NormalizeAcrossScale |
OrderArrayType | m_Order |
bool | m_UseImageSpacing |
ArrayType | m_Variance |
Additional Inherited Members | |
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage > | |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) > | InputToOutputRegionCopierType |
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) > | OutputToInputRegionCopierType |
Static Protected Member Functions inherited from itk::ImageSource< TOutputImage > | |
static ITK_THREAD_RETURN_TYPE | ThreaderCallback (void *arg) |
Protected Attributes inherited from itk::ProcessObject | |
TimeStamp | m_OutputInformationMTime |
bool | m_Updating |
typedef FixedArray< double, itkGetStaticConstMacro(ImageDimension) > itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::ArrayType |
Typedef of double containers
Definition at line 93 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef SmartPointer< const Self > itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::ConstPointer |
Definition at line 68 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef TInputImage itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::InputImageType |
Image type information.
Definition at line 74 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef TInputImage::InternalPixelType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::InputInternalPixelType |
Definition at line 85 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef TInputImage::PixelType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::InputPixelType |
Definition at line 84 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef FixedArray< unsigned int, itkGetStaticConstMacro(ImageDimension) > itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::OrderArrayType |
Array for storing desired order of derivatives
Definition at line 96 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef TOutputImage itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::OutputImageType |
Definition at line 78 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef TOutputImage::InternalPixelType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::OutputInternalPixelType |
Definition at line 83 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef TOutputImage::PixelType itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::OutputPixelType |
Extract some information from the image types. Dimensionality of the two images is assumed to be the same.
Definition at line 82 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef SmartPointer< Self > itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::Pointer |
Definition at line 67 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef DiscreteGaussianDerivativeImageFilter itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::Self |
Standard class typedefs.
Definition at line 65 of file itkDiscreteGaussianDerivativeImageFilter.h.
typedef ImageToImageFilter< TInputImage, TOutputImage > itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::Superclass |
Definition at line 66 of file itkDiscreteGaussianDerivativeImageFilter.h.
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End concept checking
Definition at line 195 of file itkDiscreteGaussianDerivativeImageFilter.h.
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inlineprotectedvirtual |
Definition at line 206 of file itkDiscreteGaussianDerivativeImageFilter.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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Standard pipeline method. While this class does not implement a ThreadedGenerateData(), its GenerateData() delegates all calculations to an NeighborhoodOperatorImageFilter. Since the NeighborhoodOperatorImageFilter is multithreaded, this filter is multithreaded by default.
Reimplemented from itk::ImageSource< TOutputImage >.
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DiscreteGaussianDerivativeImageFilter needs a larger input requested region than the output requested region (larger by the size of the Gaussian kernel). As such, DiscreteGaussianDerivativeImageFilter needs to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than MaximumError. The default is 0.01 in each dimension.
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Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.
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Run-time type information (and related methods).
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
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Order of derivatives in each dimension. Sets the derivative order independently for each dimension, but see also SetOrder(const unsigned int v). The default is 1 in each dimension.
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Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.
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The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.
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Method for creation through the object factory.
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Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
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Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
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protectedvirtual |
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 number of pieces to divide the input for the internal composite pipeline. The upstream pipeline will not be effected.
The default value is $ImageDimension^2$.
This parameter was introduced to reduce the memory used by images internally, at the cost of performance.
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The algorithm will size the discrete kernel so that the error resulting from truncation of the kernel is no greater than MaximumError. The default is 0.01 in each dimension.
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Convenience Set methods for setting all dimensional parameters to the same values.
Definition at line 160 of file itkDiscreteGaussianDerivativeImageFilter.h.
References itk::FixedArray< TValueType, VLength >::Fill().
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Set the kernel to be no wider than MaximumKernelWidth pixels, even if MaximumError demands it. The default is 32 pixels.
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Set/Get the flag for calculating scale-space normalized derivatives. Normalized derivatives are obtained multiplying by the scale parameter t.
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Order of derivatives in each dimension. Sets the derivative order independently for each dimension, but see also SetOrder(const unsigned int v). The default is 1 in each dimension.
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Convenience Set methods for setting all dimensional parameters to the same values.
Definition at line 144 of file itkDiscreteGaussianDerivativeImageFilter.h.
References itk::FixedArray< TValueType, VLength >::Fill().
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Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.
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The variance for the discrete Gaussian kernel. Sets the variance independently for each dimension, but see also SetVariance(const double v). The default is 0.0 in each dimension. If UseImageSpacing is true, the units are the physical units of your image. If UseImageSpacing is false then the units are pixels.
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Convenience Set methods for setting all dimensional parameters to the same values.
Definition at line 152 of file itkDiscreteGaussianDerivativeImageFilter.h.
References itk::FixedArray< TValueType, VLength >::Fill().
itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >::typedef | ( | Concept::HasNumericTraits< OutputPixelType > | ) |
Begin concept checking This class requires OutputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< OutputPixelType > )
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Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.
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Set/Get whether or not the filter will use the spacing of the input image in its calculations. Default is ImageSpacingOn.
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Extract some information from the image types. Dimensionality of the two images is assumed to be the same.
Definition at line 90 of file itkDiscreteGaussianDerivativeImageFilter.h.
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Number of pieces to divide the input on the internal composite pipeline. The upstream pipeline will not be effected.
Definition at line 256 of file itkDiscreteGaussianDerivativeImageFilter.h.
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The maximum error of the gaussian blurring kernel in each dimensional direction. For definition of maximum error, see GaussianOperator.
Definition at line 242 of file itkDiscreteGaussianDerivativeImageFilter.h.
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Maximum allowed kernel width for any dimension of the discrete Gaussian approximation
Definition at line 246 of file itkDiscreteGaussianDerivativeImageFilter.h.
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Flag for scale-space normalization of derivatives.
Definition at line 252 of file itkDiscreteGaussianDerivativeImageFilter.h.
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The order of the derivatives in each dimensional direction.
Definition at line 233 of file itkDiscreteGaussianDerivativeImageFilter.h.
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Flag to indicate whether to use image spacing
Definition at line 249 of file itkDiscreteGaussianDerivativeImageFilter.h.
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The variance of the gaussian blurring kernel in each dimensional direction.
Definition at line 237 of file itkDiscreteGaussianDerivativeImageFilter.h.