#include <itkMultiResolutionGaussianSmoothingPyramidImageFilter.h>

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::MultiResolutionGaussianSmoothingPyramidImageFilter< TInputImage, TOutputImage >

Framework for creating images in a multi-resolution pyramid.

MultiResolutionGaussianSmoothingPyramidImageFilter creates an image pryamid according to a user defined multi-resolution schedule.

This class inherits from the MultiResolutionPyramidImageFilter. It applies the same smoothing but does NOT do the downsampling.

The multi-resolution schedule is still specified in terms for 'shrink factors' at each multi-resolution level for each dimension (although, actual shrinking is not performed).

A user can either use the default schedules or specify each factor in the schedules directly.

The schedule is stored as an unsigned int matrix. An element of the table can be access via the double bracket notation: table[resLevel][dimension]

For example: 8 4 4 4 4 2

is a schedule for two computation level. In the first (coarest) level the image is reduce by a factor of 8 in the column dimension, factor of 4 in the row dimension and factor of 4 in the slice dimension. In the second level, the image is reduce by a factor of 4 in the column dimension, 4 is the row dimension and 2 in the slice dimension.

The method SetNumberOfLevels() set the number of computation levels in the pyramid. This method will allocate memory for the multi-resolution schedule table. This method generates defaults tables with the starting shrink factor for all dimension set to 2^(NumberOfLevel - 1). All factors are halved for all subsequent levels. For example if the number of levels was set to 4, the default table is:

8 8 8 4 4 4 2 2 2 1 1 1

The user can get a copy of the schedule via GetSchedule() They may make alteration and reset it using SetSchedule().

A user can create a default table by specifying the starting shrink factors via methods SetStartingShrinkFactors() The factors for subsequent level is generated by halving the factor or setting to one, depending on which is larger.

For example, for 4 levels and starting factors of 8,8,4 the default table would be:

8 8 4 4 4 2 2 2 1 1 1 1

When this filter is updated, NumberOfLevels outputs are produced. The N'th output correspond to the N'th level of the pyramid.

To generate each output image, Gaussian smoothing is first performed using a series of RecursiveGaussianImageFilter with standard deviation (shrink factor / 2)*imagespacing. The smoothed images are NOT downsampled, in contrast to the superclass's behaviour.

This class is templated over the input image type and the output image type.

This filter uses multithreaded filters to perform the smoothing.

This filter supports streaming.

Definition at line 123 of file itkMultiResolutionGaussianSmoothingPyramidImageFilter.h.

Inheritance diagram for itk::MultiResolutionGaussianSmoothingPyramidImageFilter< TInputImage, TOutputImage >:

[legend]

Public Types
using	ConstPointer = SmartPointer<const Self>

using	Pointer = SmartPointer<Self>

using	Self = MultiResolutionGaussianSmoothingPyramidImageFilter

using	Superclass = MultiResolutionPyramidImageFilter<TInputImage, TOutputImage>

Public Member Functions
void	GenerateInputRequestedRegion () override

void	GenerateOutputInformation () override

void	GenerateOutputRequestedRegion (DataObject *output) override

virtual const char *	GetClassName () const

	ITK_DISALLOW_COPY_AND_MOVE (MultiResolutionGaussianSmoothingPyramidImageFilter)

	itkStaticConstMacro (ImageDimension, unsigned int, TInputImage::ImageDimension)

	itkStaticConstMacro (OutputImageDimension, unsigned int, TOutputImage::ImageDimension)

void	SetSchedule (const ScheduleType &schedule) override

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
void	EnlargeOutputRequestedRegion (DataObject *output) override

void	GenerateData () override

	MultiResolutionGaussianSmoothingPyramidImageFilter ()=default

	~MultiResolutionGaussianSmoothingPyramidImageFilter () override=default