vtkImageEuclideanDistance Class Reference
#include <vtkImageEuclideanDistance.h>
Detailed Description
computes 3D Euclidean DTvtkImageEuclideanDistance implements the Euclidean DT using Saito's algorithm. The distance map produced contains the square of the Euclidean distance values.
The algorithm has a o(n^(D+1)) complexity over nxnx...xn images in D dimensions. It is very efficient on relatively small images. Cuisenaire's algorithms should be used instead if n >> 500. These are not implemented yet.
For the special case of images where the slice-size is a multiple of 2^N with a large N (typically for 256x256 slices), Saito's algorithm encounters a lot of cache conflicts during the 3rd iteration which can slow it very significantly. In that case, one should use SetAlgorithmToSaitoCached() instead for better performance.
References:
T. Saito and J.I. Toriwaki. New algorithms for Euclidean distance transformations of an n-dimensional digitised picture with applications. Pattern Recognition, 27(11). pp. 1551--1565, 1994.
O. Cuisenaire. Distance Transformation: fast algorithms and applications to medical image processing. PhD Thesis, Universite catholique de Louvain, October 1999. http://ltswww.epfl.ch/~cuisenai/papers/oc_thesis.pdf
Definition at line 55 of file vtkImageEuclideanDistance.h.
Member Typedef Documentation
Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3.
Reimplemented from vtkImageDecomposeFilter.
Definition at line 59 of file vtkImageEuclideanDistance.h.
Constructor & Destructor Documentation
| vtkImageEuclideanDistance::vtkImageEuclideanDistance | ( | ) | [protected] |
| vtkImageEuclideanDistance::~vtkImageEuclideanDistance | ( | ) | [inline, protected] |
Definition at line 115 of file vtkImageEuclideanDistance.h.
Member Function Documentation
| static vtkImageEuclideanDistance* vtkImageEuclideanDistance::New | ( | ) | [static] |
Create an object with Debug turned off, modified time initialized to zero, and reference counting on.
Reimplemented from vtkAlgorithm.
| virtual const char* vtkImageEuclideanDistance::GetClassName | ( | ) | [virtual] |
Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3.
Reimplemented from vtkImageDecomposeFilter.
| static int vtkImageEuclideanDistance::IsTypeOf | ( | const char * | type | ) | [static] |
Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3.
Reimplemented from vtkImageDecomposeFilter.
| virtual int vtkImageEuclideanDistance::IsA | ( | const char * | type | ) | [virtual] |
Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3.
Reimplemented from vtkImageDecomposeFilter.
| static vtkImageEuclideanDistance* vtkImageEuclideanDistance::SafeDownCast | ( | vtkObject * | o | ) | [static] |
Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3.
Reimplemented from vtkImageDecomposeFilter.
| void vtkImageEuclideanDistance::PrintSelf | ( | ostream & | os, | |
| vtkIndent | indent | |||
| ) | [virtual] |
Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3.
Reimplemented from vtkImageDecomposeFilter.
| int vtkImageEuclideanDistance::SplitExtent | ( | int | splitExt[6], | |
| int | startExt[6], | |||
| int | num, | |||
| int | total | |||
| ) | [virtual] |
Used internally for streaming and threads. Splits output update extent into num pieces. This method needs to be called num times. Results must not overlap for consistent starting extent. Subclass can override this method. This method returns the number of peices resulting from a successful split. This can be from 1 to "total". If 1 is returned, the extent cannot be split.
Reimplemented from vtkThreadedImageAlgorithm.
| virtual void vtkImageEuclideanDistance::SetInitialize | ( | int | ) | [virtual] |
Used to set all non-zero voxels to MaximumDistance before starting the distance transformation. Setting Initialize off keeps the current value in the input image as starting point. This allows to superimpose several distance maps.
| virtual int vtkImageEuclideanDistance::GetInitialize | ( | ) | [virtual] |
Used to set all non-zero voxels to MaximumDistance before starting the distance transformation. Setting Initialize off keeps the current value in the input image as starting point. This allows to superimpose several distance maps.
| virtual void vtkImageEuclideanDistance::InitializeOn | ( | ) | [virtual] |
Used to set all non-zero voxels to MaximumDistance before starting the distance transformation. Setting Initialize off keeps the current value in the input image as starting point. This allows to superimpose several distance maps.
| virtual void vtkImageEuclideanDistance::InitializeOff | ( | ) | [virtual] |
Used to set all non-zero voxels to MaximumDistance before starting the distance transformation. Setting Initialize off keeps the current value in the input image as starting point. This allows to superimpose several distance maps.
| virtual void vtkImageEuclideanDistance::SetConsiderAnisotropy | ( | int | ) | [virtual] |
Used to define whether Spacing should be used in the computation of the distances
| virtual int vtkImageEuclideanDistance::GetConsiderAnisotropy | ( | ) | [virtual] |
Used to define whether Spacing should be used in the computation of the distances
| virtual void vtkImageEuclideanDistance::ConsiderAnisotropyOn | ( | ) | [virtual] |
Used to define whether Spacing should be used in the computation of the distances
| virtual void vtkImageEuclideanDistance::ConsiderAnisotropyOff | ( | ) | [virtual] |
Used to define whether Spacing should be used in the computation of the distances
| virtual void vtkImageEuclideanDistance::SetMaximumDistance | ( | double | ) | [virtual] |
Any distance bigger than this->MaximumDistance will not ne computed but set to this->MaximumDistance instead.
| virtual double vtkImageEuclideanDistance::GetMaximumDistance | ( | ) | [virtual] |
Any distance bigger than this->MaximumDistance will not ne computed but set to this->MaximumDistance instead.
| virtual void vtkImageEuclideanDistance::SetAlgorithm | ( | int | ) | [virtual] |
Selects a Euclidean DT algorithm. 1. Saito 2. Saito-cached More algorithms will be added later on.
| virtual int vtkImageEuclideanDistance::GetAlgorithm | ( | ) | [virtual] |
Selects a Euclidean DT algorithm. 1. Saito 2. Saito-cached More algorithms will be added later on.
| void vtkImageEuclideanDistance::SetAlgorithmToSaito | ( | ) | [inline] |
Selects a Euclidean DT algorithm. 1. Saito 2. Saito-cached More algorithms will be added later on.
Definition at line 103 of file vtkImageEuclideanDistance.h.
| void vtkImageEuclideanDistance::SetAlgorithmToSaitoCached | ( | ) | [inline] |
Selects a Euclidean DT algorithm. 1. Saito 2. Saito-cached More algorithms will be added later on.
Definition at line 105 of file vtkImageEuclideanDistance.h.
| virtual int vtkImageEuclideanDistance::IterativeRequestData | ( | vtkInformation * | , | |
| vtkInformationVector ** | , | |||
| vtkInformationVector * | ||||
| ) | [virtual] |
Reimplemented from vtkImageIterateFilter.
| virtual void vtkImageEuclideanDistance::AllocateOutputScalars | ( | vtkImageData * | outData | ) | [protected, virtual] |
| virtual int vtkImageEuclideanDistance::IterativeRequestInformation | ( | vtkInformation * | in, | |
| vtkInformation * | out | |||
| ) | [protected, virtual] |
Reimplemented from vtkImageIterateFilter.
| virtual int vtkImageEuclideanDistance::IterativeRequestUpdateExtent | ( | vtkInformation * | in, | |
| vtkInformation * | out | |||
| ) | [protected, virtual] |
Reimplemented from vtkImageIterateFilter.
Member Data Documentation
double vtkImageEuclideanDistance::MaximumDistance [protected] |
Definition at line 117 of file vtkImageEuclideanDistance.h.
int vtkImageEuclideanDistance::Initialize [protected] |
Definition at line 118 of file vtkImageEuclideanDistance.h.
int vtkImageEuclideanDistance::ConsiderAnisotropy [protected] |
Definition at line 119 of file vtkImageEuclideanDistance.h.
int vtkImageEuclideanDistance::Algorithm [protected] |
Definition at line 120 of file vtkImageEuclideanDistance.h.
The documentation for this class was generated from the following file:
- dox/Imaging/vtkImageEuclideanDistance.h
