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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 vtkImagingGeneralPython.vtkImageEuclideanDistanceV.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3. V.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3. V.SafeDownCast(vtkObjectBase) -> vtkImageEuclideanDistance C++: static vtkImageEuclideanDistance *SafeDownCast( vtkObjectBase *o) Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3. V.NewInstance() -> vtkImageEuclideanDistance C++: vtkImageEuclideanDistance *NewInstance() Construct an instance of vtkImageDecomposeFilter filter with default dimensionality 3. V.SetInitialize(int) C++: virtual void SetInitialize(int _arg) 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. V.GetInitialize() -> int C++: virtual int GetInitialize() 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. V.InitializeOn() C++: virtual void InitializeOn() 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. V.InitializeOff() C++: virtual void InitializeOff() 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. V.SetConsiderAnisotropy(int) C++: virtual void SetConsiderAnisotropy(int _arg) Used to define whether Spacing should be used in the computation of the distances V.GetConsiderAnisotropy() -> int C++: virtual int GetConsiderAnisotropy() Used to define whether Spacing should be used in the computation of the distances V.ConsiderAnisotropyOn() C++: virtual void ConsiderAnisotropyOn() Used to define whether Spacing should be used in the computation of the distances V.ConsiderAnisotropyOff() C++: virtual void ConsiderAnisotropyOff() Used to define whether Spacing should be used in the computation of the distances V.SetMaximumDistance(float) C++: virtual void SetMaximumDistance(double _arg) Any distance bigger than this->MaximumDistance will not ne computed but set to this->MaximumDistance instead. V.GetMaximumDistance() -> float C++: virtual double GetMaximumDistance() Any distance bigger than this->MaximumDistance will not ne computed but set to this->MaximumDistance instead. V.SetAlgorithm(int) C++: virtual void SetAlgorithm(int _arg) Selects a Euclidean DT algorithm. 1. Saito 2. Saito-cached More algorithms will be added later on. V.GetAlgorithm() -> int C++: virtual int GetAlgorithm() Selects a Euclidean DT algorithm. 1. Saito 2. Saito-cached More algorithms will be added later on. V.SetAlgorithmToSaito() C++: void SetAlgorithmToSaito() Selects a Euclidean DT algorithm. 1. Saito 2. Saito-cached More algorithms will be added later on. V.SetAlgorithmToSaitoCached() C++: void SetAlgorithmToSaitoCached() Selects a Euclidean DT algorithm. 1. Saito 2. Saito-cached More algorithms will be added later on. HHHDGCC: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0GNUzRx !0 D!X l) !   EDPa AE ??0DDDXEY B v(xKEAD`n AAF 0FAA D`  AABH ED@ AG ED@ AG ED@ AG DED@ AG hH@ I H@ I DEDP AG TEDP AG DEDP AG DEDP AG 0H@ E LH@ E hH@ E H@ E gFD@ EE MFF4FDD z ABE \ DBN  - "$'gK@ QN D T D  DF @`@gy.0`)**.0  5&&&.&H#&Z(&g->3B9X?kEyKQW]ciou {1>J_)"!" 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