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Phk Fh hE4hm*h hh h h3hZhhhhh%hbhJhLhfhvvtkImageConnectorvtkImageConnectorSeedvtkImagingMorphologicalPython.vtkImageConnectorSeedvtkImageConnectorSeed - no description provided. vtkImageConnectorSeed() vtkImageConnectorSeed(const &vtkImageConnectorSeed) this function takes no keyword arguments@W vtkImageConnectorSeedvtkImagingMorphologicalPython.vtkImageConnectorvtkImageConnector - Create a binary image of a sphere. Superclass: vtkObject vtkImageConnector is a helper class for connectivity filters. It is not meant to be used directly. It implements a stack and breadth first search necessary for some connectivity filters. Filtered axes sets the dimensionality of the neighbor comparison, and cannot be more than three dimensions. As implemented, only voxels which share faces are considered neighbors. IsTypeOfV.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Return 1 if this class type is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h. IsAV.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Return 1 if this class is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h. SafeDownCastV.SafeDownCast(vtkObjectBase) -> vtkImageConnector C++: static vtkImageConnector *SafeDownCast(vtkObjectBase *o) NewInstanceV.NewInstance() -> vtkImageConnector C++: vtkImageConnector *NewInstance() RemoveAllSeedsV.RemoveAllSeeds() C++: void RemoveAllSeeds() SetConnectedValueV.SetConnectedValue(int) C++: virtual void SetConnectedValue(unsigned char _arg) Values used by the MarkRegion method GetConnectedValueV.GetConnectedValue() -> int C++: virtual unsigned char GetConnectedValue() Values used by the MarkRegion method SetUnconnectedValueV.SetUnconnectedValue(int) C++: virtual void SetUnconnectedValue(unsigned char _arg) Values used by the MarkRegion method GetUnconnectedValueV.GetUnconnectedValue() -> int C++: virtual unsigned char GetUnconnectedValue() Values used by the MarkRegion method MarkDataV.MarkData(vtkImageData, int, [int, int, int, int, int, int]) C++: void MarkData(vtkImageData *data, int dimensionality, int ext[6]) Input a data of 0's and "UnconnectedValue"s. Seeds of this object are used to find connected pixels. All pixels connected to seeds are set to ConnectedValue. The data has to be unsigned char. vtkObjectvtkObjectBasevtkImageData(i)vtkImageConnectivityFilterLabelModeEnumExtractionModeEnumSeedScalarConstantValueSizeRankSeededRegionsAllRegionsLargestRegionvtkImagingMorphologicalPython.vtkImageConnectivityFilter.LabelModeEnumvtkImagingMorphologicalPython.vtkImageConnectivityFilter.ExtractionModeEnumvtkImagingMorphologicalPython.vtkImageConnectivityFiltervtkImageConnectivityFilter - Label an image by connectivity Superclass: vtkImageAlgorithm vtkImageConnectivityFilter will identify connected regions within an image and label them. Only points with scalar values within a prescribed range are considered for inclusion, by default this range includes all scalar values with a value greater than zero. Points within the prescribed scalar range are considered to be connected if a path exists between the points that does not traverse any points that are not within the prescribed scalar range. Adjacency of points is governed by 4-connectivity for 2D images, and 6-connectivity for 3D images. The output of this filter is a label image. By default, each region is assigned a different label, where the labels are integer values starting at a value of 1. The SetLabelMode() method can be used to change the way that labels are assigned. Labels can be assigned by providing input seed points for each region to be labelled, or they can be assigned by ranking the regions by size. If a set of seeds is provided with the SetSeedData() method, then the default behavior is to only output the regions that are connected to the seeds, and if the seeds have scalars, then these scalars will be used to label the regions. Seeds with a scalar value equal to zero are ignored. See the documentation for the SetExtractionMode() method for details on how to control which regions will labeled. Regions can be selected by size with the SetSizeRange() method, which can be useful for identifying objects of a certain size, e.g. for rejecting small regions that are likely to be noise. It is also possible to label only the largest region and ignore all others, with SetExtractionModeToLargestRegion(). In addition to the labels, the following additional information is provided: the number of regions identified, the size of each region, a list of all label values used, and the seed for each region (if seeds were used). Optionally, this filter can also compute the extent of each region if GenerateRegionExtentsOn() is called. These extents can be useful for cropping the output of the filter. @sa vtkConnectivityFilter, vtkPolyDataConnectivityFilter V.SafeDownCast(vtkObjectBase) -> vtkImageConnectivityFilter C++: static vtkImageConnectivityFilter *SafeDownCast( vtkObjectBase *o) V.NewInstance() -> vtkImageConnectivityFilter C++: vtkImageConnectivityFilter *NewInstance() SetSeedConnectionV.SetSeedConnection(vtkAlgorithmOutput) C++: void SetSeedConnection(vtkAlgorithmOutput *port) The input for seed locations (input port 1). Each point in the supplied data set will be used as a seed, unless the data set has scalars, in which case only the points with scalar values that are not equal to zero will be used as seeds. GetSeedConnectionV.GetSeedConnection() -> vtkAlgorithmOutput C++: vtkAlgorithmOutput *GetSeedConnection() The input for seed locations (input port 1). Each point in the supplied data set will be used as a seed, unless the data set has scalars, in which case only the points with scalar values that are not equal to zero will be used as seeds. SetSeedDataV.SetSeedData(vtkDataSet) C++: void SetSeedData(vtkDataSet *data) The input for seed locations (input port 1). Each point in the supplied data set will be used as a seed, unless the data set has scalars, in which case only the points with scalar values that are not equal to zero will be used as seeds. SetStencilConnectionV.SetStencilConnection(vtkAlgorithmOutput) C++: void SetStencilConnection(vtkAlgorithmOutput *port) The input for a stencil (input port 2). The output labels will be restricted to the region inside the stencil, as if no input voxels existed outside the stencil. This allows you to apply this filter within an arbitrary region of interest. GetStencilConnectionV.GetStencilConnection() -> vtkAlgorithmOutput C++: vtkAlgorithmOutput *GetStencilConnection() The input for a stencil (input port 2). The output labels will be restricted to the region inside the stencil, as if no input voxels existed outside the stencil. This allows you to apply this filter within an arbitrary region of interest. SetStencilDataV.SetStencilData(vtkImageStencilData) C++: void SetStencilData(vtkImageStencilData *data) The input for a stencil (input port 2). The output labels will be restricted to the region inside the stencil, as if no input voxels existed outside the stencil. This allows you to apply this filter within an arbitrary region of interest. SetLabelScalarTypeToUnsignedCharV.SetLabelScalarTypeToUnsignedChar() C++: void SetLabelScalarTypeToUnsignedChar() Set the scalar type for the output label image. This should be one of UnsignedChar, Short, UnsignedShort, or Int depending on how many labels are expected. The default is UnsignedChar, which allows for 255 label values. If the total number of regions is greater than the maximum label value N, then only the largest N regions will be kept and the rest will be discarded. SetLabelScalarTypeToShortV.SetLabelScalarTypeToShort() C++: void SetLabelScalarTypeToShort() Set the scalar type for the output label image. This should be one of UnsignedChar, Short, UnsignedShort, or Int depending on how many labels are expected. The default is UnsignedChar, which allows for 255 label values. If the total number of regions is greater than the maximum label value N, then only the largest N regions will be kept and the rest will be discarded. SetLabelScalarTypeToUnsignedShortV.SetLabelScalarTypeToUnsignedShort() C++: void SetLabelScalarTypeToUnsignedShort() Set the scalar type for the output label image. This should be one of UnsignedChar, Short, UnsignedShort, or Int depending on how many labels are expected. The default is UnsignedChar, which allows for 255 label values. If the total number of regions is greater than the maximum label value N, then only the largest N regions will be kept and the rest will be discarded. SetLabelScalarTypeToIntV.SetLabelScalarTypeToInt() C++: void SetLabelScalarTypeToInt() Set the scalar type for the output label image. This should be one of UnsignedChar, Short, UnsignedShort, or Int depending on how many labels are expected. The default is UnsignedChar, which allows for 255 label values. If the total number of regions is greater than the maximum label value N, then only the largest N regions will be kept and the rest will be discarded. GetLabelScalarTypeAsStringV.GetLabelScalarTypeAsString() -> string C++: const char *GetLabelScalarTypeAsString() Set the scalar type for the output label image. This should be one of UnsignedChar, Short, UnsignedShort, or Int depending on how many labels are expected. The default is UnsignedChar, which allows for 255 label values. If the total number of regions is greater than the maximum label value N, then only the largest N regions will be kept and the rest will be discarded. SetLabelScalarTypeV.SetLabelScalarType(int) C++: virtual void SetLabelScalarType(int _arg) Set the scalar type for the output label image. This should be one of UnsignedChar, Short, UnsignedShort, or Int depending on how many labels are expected. The default is UnsignedChar, which allows for 255 label values. If the total number of regions is greater than the maximum label value N, then only the largest N regions will be kept and the rest will be discarded. GetLabelScalarTypeV.GetLabelScalarType() -> int C++: virtual int GetLabelScalarType() Set the scalar type for the output label image. This should be one of UnsignedChar, Short, UnsignedShort, or Int depending on how many labels are expected. The default is UnsignedChar, which allows for 255 label values. If the total number of regions is greater than the maximum label value N, then only the largest N regions will be kept and the rest will be discarded. SetLabelModeToSeedScalarV.SetLabelModeToSeedScalar() C++: void SetLabelModeToSeedScalar() Set the mode for applying labels to the output. Labeling by SeedScalar uses the scalars from the seeds as labels, if present, or the regions will be labeled consecutively starting at 1, if the seeds have no scalars. Labeling by SizeRank means that the largest region is labeled 1 and other regions are labeled consecutively in order of decreasing size (if there is a tie, then the seed point ID is used as a tiebreaker). Finally, Constant means that all regions will have the value of SetLabelConstantValue(). The default is to label using the seed scalars, if present, or to label consecutively, if no seed scalars are present. SetLabelModeToConstantValueV.SetLabelModeToConstantValue() C++: void SetLabelModeToConstantValue() Set the mode for applying labels to the output. Labeling by SeedScalar uses the scalars from the seeds as labels, if present, or the regions will be labeled consecutively starting at 1, if the seeds have no scalars. Labeling by SizeRank means that the largest region is labeled 1 and other regions are labeled consecutively in order of decreasing size (if there is a tie, then the seed point ID is used as a tiebreaker). Finally, Constant means that all regions will have the value of SetLabelConstantValue(). The default is to label using the seed scalars, if present, or to label consecutively, if no seed scalars are present. SetLabelModeToSizeRankV.SetLabelModeToSizeRank() C++: void SetLabelModeToSizeRank() Set the mode for applying labels to the output. Labeling by SeedScalar uses the scalars from the seeds as labels, if present, or the regions will be labeled consecutively starting at 1, if the seeds have no scalars. Labeling by SizeRank means that the largest region is labeled 1 and other regions are labeled consecutively in order of decreasing size (if there is a tie, then the seed point ID is used as a tiebreaker). Finally, Constant means that all regions will have the value of SetLabelConstantValue(). The default is to label using the seed scalars, if present, or to label consecutively, if no seed scalars are present. GetLabelModeAsStringV.GetLabelModeAsString() -> string C++: const char *GetLabelModeAsString() Set the mode for applying labels to the output. Labeling by SeedScalar uses the scalars from the seeds as labels, if present, or the regions will be labeled consecutively starting at 1, if the seeds have no scalars. Labeling by SizeRank means that the largest region is labeled 1 and other regions are labeled consecutively in order of decreasing size (if there is a tie, then the seed point ID is used as a tiebreaker). Finally, Constant means that all regions will have the value of SetLabelConstantValue(). The default is to label using the seed scalars, if present, or to label consecutively, if no seed scalars are present. SetLabelModeV.SetLabelMode(int) C++: virtual void SetLabelMode(int _arg) Set the mode for applying labels to the output. Labeling by SeedScalar uses the scalars from the seeds as labels, if present, or the regions will be labeled consecutively starting at 1, if the seeds have no scalars. Labeling by SizeRank means that the largest region is labeled 1 and other regions are labeled consecutively in order of decreasing size (if there is a tie, then the seed point ID is used as a tiebreaker). Finally, Constant means that all regions will have the value of SetLabelConstantValue(). The default is to label using the seed scalars, if present, or to label consecutively, if no seed scalars are present. GetLabelModeV.GetLabelMode() -> int C++: virtual int GetLabelMode() Set the mode for applying labels to the output. Labeling by SeedScalar uses the scalars from the seeds as labels, if present, or the regions will be labeled consecutively starting at 1, if the seeds have no scalars. Labeling by SizeRank means that the largest region is labeled 1 and other regions are labeled consecutively in order of decreasing size (if there is a tie, then the seed point ID is used as a tiebreaker). Finally, Constant means that all regions will have the value of SetLabelConstantValue(). The default is to label using the seed scalars, if present, or to label consecutively, if no seed scalars are present. SetExtractionModeToSeededRegionsV.SetExtractionModeToSeededRegions() C++: void SetExtractionModeToSeededRegions() Set which regions to output from this filter. This can be all the regions, just the seeded regions, or the largest region (which will the the largest seeded region, if there are seeds). The default is to output all the seeded regions, if there are seeds, or to output all the regions, if there are no seeds. SetExtractionModeToAllRegionsV.SetExtractionModeToAllRegions() C++: void SetExtractionModeToAllRegions() Set which regions to output from this filter. This can be all the regions, just the seeded regions, or the largest region (which will the the largest seeded region, if there are seeds). The default is to output all the seeded regions, if there are seeds, or to output all the regions, if there are no seeds. SetExtractionModeToLargestRegionV.SetExtractionModeToLargestRegion() C++: void SetExtractionModeToLargestRegion() Set which regions to output from this filter. This can be all the regions, just the seeded regions, or the largest region (which will the the largest seeded region, if there are seeds). The default is to output all the seeded regions, if there are seeds, or to output all the regions, if there are no seeds. GetExtractionModeAsStringV.GetExtractionModeAsString() -> string C++: const char *GetExtractionModeAsString() Set which regions to output from this filter. This can be all the regions, just the seeded regions, or the largest region (which will the the largest seeded region, if there are seeds). The default is to output all the seeded regions, if there are seeds, or to output all the regions, if there are no seeds. SetExtractionModeV.SetExtractionMode(int) C++: virtual void SetExtractionMode(int _arg) Set which regions to output from this filter. This can be all the regions, just the seeded regions, or the largest region (which will the the largest seeded region, if there are seeds). The default is to output all the seeded regions, if there are seeds, or to output all the regions, if there are no seeds. GetExtractionModeV.GetExtractionMode() -> int C++: virtual int GetExtractionMode() Set which regions to output from this filter. This can be all the regions, just the seeded regions, or the largest region (which will the the largest seeded region, if there are seeds). The default is to output all the seeded regions, if there are seeds, or to output all the regions, if there are no seeds. SetLabelConstantValueV.SetLabelConstantValue(int) C++: virtual void SetLabelConstantValue(int _arg) The label used when LabelMode is ConstantValue. The default value is 255. GetLabelConstantValueV.GetLabelConstantValue() -> int C++: virtual int GetLabelConstantValue() The label used when LabelMode is ConstantValue. The default value is 255. GetNumberOfExtractedRegionsV.GetNumberOfExtractedRegions() -> int C++: vtkIdType GetNumberOfExtractedRegions() Get the number of extracted regions. GetExtractedRegionLabelsV.GetExtractedRegionLabels() -> vtkIdTypeArray C++: vtkIdTypeArray *GetExtractedRegionLabels() Get the label used for each extracted region. GetExtractedRegionSizesV.GetExtractedRegionSizes() -> vtkIdTypeArray C++: vtkIdTypeArray *GetExtractedRegionSizes() Get the size of each extracted region, as a voxel count. GetExtractedRegionSeedIdsV.GetExtractedRegionSeedIds() -> vtkIdTypeArray C++: vtkIdTypeArray *GetExtractedRegionSeedIds() Get the PointId of the seed for each region. If no seed was used, the PointId will be -1. GetExtractedRegionExtentsV.GetExtractedRegionExtents() -> vtkIntArray C++: vtkIntArray *GetExtractedRegionExtents() Get the extent (a 6-tuples) for each output region. This is only valid if GenerateRegionExtentsOn() was called before the filter was executed. SetGenerateRegionExtentsV.SetGenerateRegionExtents(int) C++: virtual void SetGenerateRegionExtents(int _arg) Turn this on to request creation of the ExtractedRegionExtents array. GenerateRegionExtentsOnV.GenerateRegionExtentsOn() C++: virtual void GenerateRegionExtentsOn() Turn this on to request creation of the ExtractedRegionExtents array. GenerateRegionExtentsOffV.GenerateRegionExtentsOff() C++: virtual void GenerateRegionExtentsOff() Turn this on to request creation of the ExtractedRegionExtents array. GetGenerateRegionExtentsV.GetGenerateRegionExtents() -> int C++: virtual int GetGenerateRegionExtents() Turn this on to request creation of the ExtractedRegionExtents array. SetSizeRangeV.SetSizeRange(int, int) C++: void SetSizeRange(vtkIdType, vtkIdType) V.SetSizeRange((int, int)) C++: void SetSizeRange(vtkIdType a[2]) GetSizeRangeV.GetSizeRange() -> (int, int) C++: vtkIdType *GetSizeRange() SetScalarRangeV.SetScalarRange(float, float) C++: void SetScalarRange(double, double) V.SetScalarRange((float, float)) C++: void SetScalarRange(double a[2]) GetScalarRangeV.GetScalarRange() -> (float, float) C++: double *GetScalarRange() SetActiveComponentV.SetActiveComponent(int) C++: virtual void SetActiveComponent(int _arg) For multi-component input images, select which component to use. GetActiveComponentV.GetActiveComponent() -> int C++: virtual int GetActiveComponent() For multi-component input images, select which component to use. vtkImageAlgorithmvtkAlgorithmvtkAlgorithmOutputvtkDataSetvtkImageStencilDatavtkImageContinuousDilate3DvtkImagingMorphologicalPython.vtkImageContinuousDilate3DvtkImageContinuousDilate3D - Dilate implemented as a maximum. Superclass: vtkImageSpatialAlgorithm vtkImageContinuousDilate3D replaces a pixel with the maximum over an ellipsoidal neighborhood. If KernelSize of an axis is 1, no processing is done on that axis. V.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Construct an instance of vtkImageContinuousDilate3D filter. By default zero values are dilated. V.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Construct an instance of vtkImageContinuousDilate3D filter. By default zero values are dilated. V.SafeDownCast(vtkObjectBase) -> vtkImageContinuousDilate3D C++: static vtkImageContinuousDilate3D *SafeDownCast( vtkObjectBase *o) Construct an instance of vtkImageContinuousDilate3D filter. By default zero values are dilated. V.NewInstance() -> vtkImageContinuousDilate3D C++: vtkImageContinuousDilate3D *NewInstance() Construct an instance of vtkImageContinuousDilate3D filter. By default zero values are dilated. SetKernelSizeV.SetKernelSize(int, int, int) C++: void SetKernelSize(int size0, int size1, int size2) This method sets the size of the neighborhood. It also sets the default middle of the neighborhood and computes the elliptical foot print. vtkImageSpatialAlgorithmvtkThreadedImageAlgorithmvtkImageContinuousErode3DvtkImagingMorphologicalPython.vtkImageContinuousErode3DvtkImageContinuousErode3D - Erosion implemented as a minimum. Superclass: vtkImageSpatialAlgorithm vtkImageContinuousErode3D replaces a pixel with the minimum over an ellipsoidal neighborhood. If KernelSize of an axis is 1, no processing is done on that axis. V.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Construct an instance of vtkImageContinuousErode3D filter. By default zero values are eroded. V.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Construct an instance of vtkImageContinuousErode3D filter. By default zero values are eroded. V.SafeDownCast(vtkObjectBase) -> vtkImageContinuousErode3D C++: static vtkImageContinuousErode3D *SafeDownCast( vtkObjectBase *o) Construct an instance of vtkImageContinuousErode3D filter. By default zero values are eroded. V.NewInstance() -> vtkImageContinuousErode3D C++: vtkImageContinuousErode3D *NewInstance() Construct an instance of vtkImageContinuousErode3D filter. By default zero values are eroded. vtkImageDilateErode3DvtkImagingMorphologicalPython.vtkImageDilateErode3DvtkImageDilateErode3D - Dilates one value and erodes another. Superclass: vtkImageSpatialAlgorithm vtkImageDilateErode3D will dilate one value and erode another. It uses an elliptical foot print, and only erodes/dilates on the boundary of the two values. The filter is restricted to the X, Y, and Z axes for now. It can degenerate to a 2 or 1 dimensional filter by setting the kernel size to 1 for a specific axis. V.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Construct an instance of vtkImageDilateErode3D filter. By default zero values are dilated. V.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Construct an instance of vtkImageDilateErode3D filter. By default zero values are dilated. V.SafeDownCast(vtkObjectBase) -> vtkImageDilateErode3D C++: static vtkImageDilateErode3D *SafeDownCast(vtkObjectBase *o) Construct an instance of vtkImageDilateErode3D filter. By default zero values are dilated. V.NewInstance() -> vtkImageDilateErode3D C++: vtkImageDilateErode3D *NewInstance() Construct an instance of vtkImageDilateErode3D filter. By default zero values are dilated. SetDilateValueV.SetDilateValue(float) C++: virtual void SetDilateValue(double _arg) Set/Get the Dilate and Erode values to be used by this filter. GetDilateValueV.GetDilateValue() -> float C++: virtual double GetDilateValue() Set/Get the Dilate and Erode values to be used by this filter. SetErodeValueV.SetErodeValue(float) C++: virtual void SetErodeValue(double _arg) Set/Get the Dilate and Erode values to be used by this filter. GetErodeValueV.GetErodeValue() -> float C++: virtual double GetErodeValue() Set/Get the Dilate and Erode values to be used by this filter. vtkImageIslandRemoval2DvtkImagingMorphologicalPython.vtkImageIslandRemoval2DvtkImageIslandRemoval2D - Removes small clusters in masks. Superclass: vtkImageAlgorithm vtkImageIslandRemoval2D computes the area of separate islands in a mask image. It removes any island that has less than AreaThreshold pixels. Output has the same ScalarType as input. It generates the whole 2D output image for any output request. V.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Constructor: Sets default filter to be identity. V.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Constructor: Sets default filter to be identity. V.SafeDownCast(vtkObjectBase) -> vtkImageIslandRemoval2D C++: static vtkImageIslandRemoval2D *SafeDownCast( vtkObjectBase *o) Constructor: Sets default filter to be identity. V.NewInstance() -> vtkImageIslandRemoval2D C++: vtkImageIslandRemoval2D *NewInstance() Constructor: Sets default filter to be identity. SetAreaThresholdV.SetAreaThreshold(int) C++: virtual void SetAreaThreshold(int _arg) Set/Get the cutoff area for removal GetAreaThresholdV.GetAreaThreshold() -> int C++: virtual int GetAreaThreshold() Set/Get the cutoff area for removal SetSquareNeighborhoodV.SetSquareNeighborhood(int) C++: virtual void SetSquareNeighborhood(int _arg) Set/Get whether to use 4 or 8 neighbors GetSquareNeighborhoodV.GetSquareNeighborhood() -> int C++: virtual int GetSquareNeighborhood() Set/Get whether to use 4 or 8 neighbors SquareNeighborhoodOnV.SquareNeighborhoodOn() C++: virtual void SquareNeighborhoodOn() Set/Get whether to use 4 or 8 neighbors SquareNeighborhoodOffV.SquareNeighborhoodOff() C++: virtual void SquareNeighborhoodOff() Set/Get whether to use 4 or 8 neighbors SetIslandValueV.SetIslandValue(float) C++: virtual void SetIslandValue(double _arg) Set/Get the value to remove. GetIslandValueV.GetIslandValue() -> float C++: virtual double GetIslandValue() Set/Get the value to remove. SetReplaceValueV.SetReplaceValue(float) C++: virtual void SetReplaceValue(double _arg) Set/Get the value to put in the place of removed pixels. GetReplaceValueV.GetReplaceValue() -> float C++: virtual double GetReplaceValue() Set/Get the value to put in the place of removed pixels. vtkImageNonMaximumSuppressionVTK_IMAGE_NON_MAXIMUM_SUPPRESSION_MAGNITUDE_INPUTVTK_IMAGE_NON_MAXIMUM_SUPPRESSION_VECTOR_INPUTvtkImagingMorphologicalPython.vtkImageNonMaximumSuppressionvtkImageNonMaximumSuppression - Performs non-maximum suppression Superclass: vtkThreadedImageAlgorithm vtkImageNonMaximumSuppression Sets to zero any pixel that is not a peak. If a pixel has a neighbor along the vector that has larger magnitude, the smaller pixel is set to zero. The filter takes two inputs: a magnitude and a vector. Output is magnitude information and is always in doubles. Typically this filter is used with vtkImageGradient and vtkImageGradientMagnitude as inputs. V.SafeDownCast(vtkObjectBase) -> vtkImageNonMaximumSuppression C++: static vtkImageNonMaximumSuppression *SafeDownCast( vtkObjectBase *o) V.NewInstance() -> vtkImageNonMaximumSuppression C++: vtkImageNonMaximumSuppression *NewInstance() SetMagnitudeInputDataV.SetMagnitudeInputData(vtkImageData) C++: void SetMagnitudeInputData(vtkImageData *input) Set the magnitude and vector inputs. SetVectorInputDataV.SetVectorInputData(vtkImageData) C++: void SetVectorInputData(vtkImageData *input) Set the magnitude and vector inputs. SetHandleBoundariesV.SetHandleBoundaries(int) C++: virtual void SetHandleBoundaries(int _arg) If "HandleBoundariesOn" then boundary pixels are duplicated So central differences can get values. GetHandleBoundariesV.GetHandleBoundaries() -> int C++: virtual int GetHandleBoundaries() If "HandleBoundariesOn" then boundary pixels are duplicated So central differences can get values. HandleBoundariesOnV.HandleBoundariesOn() C++: virtual void HandleBoundariesOn() If "HandleBoundariesOn" then boundary pixels are duplicated So central differences can get values. HandleBoundariesOffV.HandleBoundariesOff() C++: virtual void HandleBoundariesOff() If "HandleBoundariesOn" then boundary pixels are duplicated So central differences can get values. SetDimensionalityV.SetDimensionality(int) C++: virtual void SetDimensionality(int _arg) Determines how the input is interpreted (set of 2d slices or a 3D volume) GetDimensionalityMinValueV.GetDimensionalityMinValue() -> int C++: virtual int GetDimensionalityMinValue() Determines how the input is interpreted (set of 2d slices or a 3D volume) GetDimensionalityMaxValueV.GetDimensionalityMaxValue() -> int C++: virtual int GetDimensionalityMaxValue() Determines how the input is interpreted (set of 2d slices or a 3D volume) GetDimensionalityV.GetDimensionality() -> int C++: virtual int GetDimensionality() Determines how the input is interpreted (set of 2d slices or a 3D volume) vtkImageOpenClose3DvtkImagingMorphologicalPython.vtkImageOpenClose3DvtkImageOpenClose3D - Will perform opening or closing. Superclass: vtkImageAlgorithm vtkImageOpenClose3D performs opening or closing by having two vtkImageErodeDilates in series. The size of operation is determined by the method SetKernelSize, and the operator is an ellipse. OpenValue and CloseValue determine how the filter behaves. For binary images Opening and closing behaves as expected. Close value is first dilated, and then eroded. Open value is first eroded, and then dilated. Degenerate two dimensional opening/closing can be achieved by setting the one axis the 3D KernelSize to 1. Values other than open value and close value are not touched. This enables the filter to processes segmented images containing more than two tags. V.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Default open value is 0, and default close value is 255. V.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Default open value is 0, and default close value is 255. V.SafeDownCast(vtkObjectBase) -> vtkImageOpenClose3D C++: static vtkImageOpenClose3D *SafeDownCast(vtkObjectBase *o) Default open value is 0, and default close value is 255. V.NewInstance() -> vtkImageOpenClose3D C++: vtkImageOpenClose3D *NewInstance() Default open value is 0, and default close value is 255. GetMTimeV.GetMTime() -> int C++: vtkMTimeType GetMTime() override; This method considers the sub filters MTimes when computing this objects modified time. DebugOnV.DebugOn() C++: void DebugOn() override; Turn debugging output on. (in sub filters also) DebugOffV.DebugOff() C++: void DebugOff() override; Turn debugging output on. (in sub filters also) ModifiedV.Modified() C++: void Modified() override; Pass modified message to sub filters. V.SetKernelSize(int, int, int) C++: void SetKernelSize(int size0, int size1, int size2) Selects the size of gaps or objects removed. SetOpenValueV.SetOpenValue(float) C++: void SetOpenValue(double value) Determines the value that will opened. Open value is first eroded, and then dilated. GetOpenValueV.GetOpenValue() -> float C++: double GetOpenValue() Determines the value that will opened. Open value is first eroded, and then dilated. SetCloseValueV.SetCloseValue(float) C++: void SetCloseValue(double value) Determines the value that will closed. Close value is first dilated, and then eroded GetCloseValueV.GetCloseValue() -> float C++: double GetCloseValue() Determines the value that will closed. Close value is first dilated, and then eroded GetFilter0V.GetFilter0() -> vtkImageDilateErode3D C++: virtual vtkImageDilateErode3D *GetFilter0() Needed for Progress functions GetFilter1V.GetFilter1() -> vtkImageDilateErode3D C++: virtual vtkImageDilateErode3D *GetFilter1() Needed for Progress functions vtkImageSeedConnectivityvtkImagingMorphologicalPython.vtkImageSeedConnectivityvtkImageSeedConnectivity - SeedConnectivity with user defined seeds. Superclass: vtkImageAlgorithm vtkImageSeedConnectivity marks pixels connected to user supplied seeds. The input must be unsigned char, and the output is also unsigned char. If a seed supplied by the user does not have pixel value "InputTrueValue", then the image is scanned +x, +y, +z until a pixel is encountered with value "InputTrueValue". This new pixel is used as the seed . Any pixel with out value "InputTrueValue" is consider off. The output pixels values are 0 for any off pixel in input, "OutputTrueValue" for any pixels connected to seeds, and "OutputUnconnectedValue" for any on pixels not connected to seeds. The same seeds are used for all images in the image set. V.SafeDownCast(vtkObjectBase) -> vtkImageSeedConnectivity C++: static vtkImageSeedConnectivity *SafeDownCast( vtkObjectBase *o) V.NewInstance() -> vtkImageSeedConnectivity C++: vtkImageSeedConnectivity *NewInstance() V.RemoveAllSeeds() C++: void RemoveAllSeeds() Methods for manipulating the seed pixels. AddSeedV.AddSeed(int, [int, ...]) C++: void AddSeed(int num, int *index) V.AddSeed(int, int, int) C++: void AddSeed(int i0, int i1, int i2) V.AddSeed(int, int) C++: void AddSeed(int i0, int i1) Methods for manipulating the seed pixels. SetInputConnectValueV.SetInputConnectValue(int) C++: virtual void SetInputConnectValue(unsigned char _arg) Set/Get what value is considered as connecting pixels. GetInputConnectValueV.GetInputConnectValue() -> int C++: virtual unsigned char GetInputConnectValue() Set/Get what value is considered as connecting pixels. SetOutputConnectedValueV.SetOutputConnectedValue(int) C++: virtual void SetOutputConnectedValue(unsigned char _arg) Set/Get the value to set connected pixels to. GetOutputConnectedValueV.GetOutputConnectedValue() -> int C++: virtual unsigned char GetOutputConnectedValue() Set/Get the value to set connected pixels to. SetOutputUnconnectedValueV.SetOutputUnconnectedValue(int) C++: virtual void SetOutputUnconnectedValue(unsigned char _arg) Set/Get the value to set unconnected pixels to. GetOutputUnconnectedValueV.GetOutputUnconnectedValue() -> int C++: virtual unsigned char GetOutputUnconnectedValue() Set/Get the value to set unconnected pixels to. GetConnectorV.GetConnector() -> vtkImageConnector C++: virtual vtkImageConnector *GetConnector() Get the vtkImageCOnnector used by this filter. V.SetDimensionality(int) C++: virtual void SetDimensionality(int _arg) Set the number of axes to use in connectivity. V.GetDimensionality() -> int C++: virtual int GetDimensionality() Set the number of axes to use in connectivity. @iP *i@iivtkImageSkeleton2DvtkImagingMorphologicalPython.vtkImageSkeleton2DvtkImageSkeleton2D - Skeleton of 2D images. Superclass: vtkImageIterateFilter vtkImageSkeleton2D should leave only single pixel width lines of non-zero-valued pixels (values of 1 are not allowed). It works by erosion on a 3x3 neighborhood with special rules. The number of iterations determines how far the filter can erode. There are three pruning levels: prune == 0 will leave traces on all angles... prune == 1 will not leave traces on 135 degree angles, but will on 90. prune == 2 does not leave traces on any angles leaving only closed loops. Prune defaults to zero. The output scalar type is the same as the input. V.SafeDownCast(vtkObjectBase) -> vtkImageSkeleton2D C++: static vtkImageSkeleton2D *SafeDownCast(vtkObjectBase *o) V.NewInstance() -> vtkImageSkeleton2D C++: vtkImageSkeleton2D *NewInstance() SetPruneV.SetPrune(int) C++: virtual void SetPrune(int _arg) When prune is on, only closed loops are left unchanged. GetPruneV.GetPrune() -> int C++: virtual int GetPrune() When prune is on, only closed loops are left unchanged. PruneOnV.PruneOn() C++: virtual void PruneOn() When prune is on, only closed loops are left unchanged. PruneOffV.PruneOff() C++: virtual void PruneOff() When prune is on, only closed loops are left unchanged. SetNumberOfIterationsV.SetNumberOfIterations(int) C++: void SetNumberOfIterations(int num) override; Sets the number of cycles in the erosion. vtkImageIterateFiltervtkImageThresholdConnectivityvtkImagingMorphologicalPython.vtkImageThresholdConnectivityvtkImageThresholdConnectivity - Flood fill an image region. Superclass: vtkImageAlgorithm vtkImageThresholdConnectivity will perform a flood fill on an image, given upper and lower pixel intensity thresholds. It works similarly to vtkImageThreshold, but also allows the user to set seed points to limit the threshold operation to contiguous regions of the image. The filled region, or the "inside", will be passed through to the output by default, while the "outside" will be replaced with zeros. This behavior can be changed by using the ReplaceIn() and ReplaceOut() methods. The scalar type of the output is the same as the input. @sa vtkImageThreshold@par Thanks: Thanks to David Gobbi for contributing this class to VTK. V.SafeDownCast(vtkObjectBase) -> vtkImageThresholdConnectivity C++: static vtkImageThresholdConnectivity *SafeDownCast( vtkObjectBase *o) V.NewInstance() -> vtkImageThresholdConnectivity C++: vtkImageThresholdConnectivity *NewInstance() SetSeedPointsV.SetSeedPoints(vtkPoints) C++: void SetSeedPoints(vtkPoints *points) Set the seeds. The seeds are in real data coordinates, not in voxel index locations. GetSeedPointsV.GetSeedPoints() -> vtkPoints C++: virtual vtkPoints *GetSeedPoints() Set the seeds. The seeds are in real data coordinates, not in voxel index locations. ThresholdByUpperV.ThresholdByUpper(float) C++: void ThresholdByUpper(double thresh) Values greater than or equal to this threshold will be filled. ThresholdByLowerV.ThresholdByLower(float) C++: void ThresholdByLower(double thresh) Values less than or equal to this threshold will be filled. ThresholdBetweenV.ThresholdBetween(float, float) C++: void ThresholdBetween(double lower, double upper) Values within this range will be filled, where the range inludes values that are exactly equal to the lower and upper thresholds. SetReplaceInV.SetReplaceIn(int) C++: virtual void SetReplaceIn(int _arg) Replace the filled region by the value set by SetInValue(). GetReplaceInV.GetReplaceIn() -> int C++: virtual int GetReplaceIn() Replace the filled region by the value set by SetInValue(). ReplaceInOnV.ReplaceInOn() C++: virtual void ReplaceInOn() Replace the filled region by the value set by SetInValue(). ReplaceInOffV.ReplaceInOff() C++: virtual void ReplaceInOff() Replace the filled region by the value set by SetInValue(). SetInValueV.SetInValue(float) C++: void SetInValue(double val) If ReplaceIn is set, the filled region will be replaced by this value. GetInValueV.GetInValue() -> float C++: virtual double GetInValue() If ReplaceIn is set, the filled region will be replaced by this value. SetReplaceOutV.SetReplaceOut(int) C++: virtual void SetReplaceOut(int _arg) Replace the filled region by the value set by SetInValue(). GetReplaceOutV.GetReplaceOut() -> int C++: virtual int GetReplaceOut() Replace the filled region by the value set by SetInValue(). ReplaceOutOnV.ReplaceOutOn() C++: virtual void ReplaceOutOn() Replace the filled region by the value set by SetInValue(). ReplaceOutOffV.ReplaceOutOff() C++: virtual void ReplaceOutOff() Replace the filled region by the value set by SetInValue(). SetOutValueV.SetOutValue(float) C++: void SetOutValue(double val) If ReplaceOut is set, outside the fill will be replaced by this value. GetOutValueV.GetOutValue() -> float C++: virtual double GetOutValue() If ReplaceOut is set, outside the fill will be replaced by this value. GetUpperThresholdV.GetUpperThreshold() -> float C++: virtual double GetUpperThreshold() Get the Upper and Lower thresholds. GetLowerThresholdV.GetLowerThreshold() -> float C++: virtual double GetLowerThreshold() Get the Upper and Lower thresholds. SetSliceRangeXV.SetSliceRangeX(int, int) C++: void SetSliceRangeX(int, int) V.SetSliceRangeX((int, int)) C++: void SetSliceRangeX(int a[2]) GetSliceRangeXV.GetSliceRangeX() -> (int, int) C++: int *GetSliceRangeX() SetSliceRangeYV.SetSliceRangeY(int, int) C++: void SetSliceRangeY(int, int) V.SetSliceRangeY((int, int)) C++: void SetSliceRangeY(int a[2]) GetSliceRangeYV.GetSliceRangeY() -> (int, int) C++: int *GetSliceRangeY() SetSliceRangeZV.SetSliceRangeZ(int, int) C++: void SetSliceRangeZ(int, int) V.SetSliceRangeZ((int, int)) C++: void SetSliceRangeZ(int a[2]) GetSliceRangeZV.GetSliceRangeZ() -> (int, int) C++: int *GetSliceRangeZ() V.SetStencilData(vtkImageStencilData) C++: virtual void SetStencilData(vtkImageStencilData *stencil) Specify a stencil that will be used to limit the flood fill to an arbitrarily-shaped region of the image. GetStencilV.GetStencil() -> vtkImageStencilData C++: vtkImageStencilData *GetStencil() Specify a stencil that will be used to limit the flood fill to an arbitrarily-shaped region of the image. V.SetActiveComponent(int) C++: virtual void SetActiveComponent(int _arg) For multi-component images, you can set which component will be used for the threshold checks. V.GetActiveComponent() -> int C++: virtual int GetActiveComponent() For multi-component images, you can set which component will be used for the threshold checks. SetNeighborhoodRadiusV.SetNeighborhoodRadius(float, float, float) C++: void SetNeighborhoodRadius(double, double, double) V.SetNeighborhoodRadius((float, float, float)) C++: void SetNeighborhoodRadius(double a[3]) GetNeighborhoodRadiusV.GetNeighborhoodRadius() -> (float, float, float) C++: double *GetNeighborhoodRadius() SetNeighborhoodFractionV.SetNeighborhoodFraction(float) C++: virtual void SetNeighborhoodFraction(double _arg) The fraction of the neighborhood that must be within the thresholds. The default value is 0.5. GetNeighborhoodFractionMinValueV.GetNeighborhoodFractionMinValue() -> float C++: virtual double GetNeighborhoodFractionMinValue() The fraction of the neighborhood that must be within the thresholds. The default value is 0.5. GetNeighborhoodFractionMaxValueV.GetNeighborhoodFractionMaxValue() -> float C++: virtual double GetNeighborhoodFractionMaxValue() The fraction of the neighborhood that must be within the thresholds. The default value is 0.5. GetNeighborhoodFractionV.GetNeighborhoodFraction() -> float C++: virtual double GetNeighborhoodFraction() The fraction of the neighborhood that must be within the thresholds. The default value is 0.5. V.GetMTime() -> int C++: vtkMTimeType GetMTime() override; Override the MTime to account for the seed points. 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