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2HHt$Lw(MtD9uEt&IPHt.1:H}111)ILXIYHuLHHH([A^A_]fDUHAWAVSH(HuHNHED~D}HG]܉]y rHHt$Lw(MtD9uEt&I0Ht.1:H}111')ILpIHuLHHH([A^A_]fDUHAVSH=pIHkHt#HHHEHL[A^]H=9NH5VNl%܏%ޏ%%%%%%%%%%%%%%%%%%%%%% % %%%%%%%%%% %"%$%&%(%*%,%.%0%2%4%6%8%:%<hzh!ph=fhP\hfRhHh>h4h*h hh hLAS%9Nhhhh"hmhhhhHhhhxhnhdhZhPh/FhHhhFh`hpvtkImageAccumulatevtkImagingStatisticsPython.vtkImageAccumulatevtkImageAccumulate - Generalized histograms up to 3 dimensions. Superclass: vtkImageAlgorithm vtkImageAccumulate - This filter divides component space into discrete bins. It then counts the number of pixels associated with each bin. The dimensionality of the output depends on how many components the input pixels have. An input images with N components per pixels will result in an N-dimensional histogram, where N can be 1, 2, or 3. The input can be any type, but the output is always int. Some statistics are computed on the pixel values at the same time. The SetStencil and ReverseStencil functions allow the statistics to be computed on an arbitrary portion of the input data. See the documentation for vtkImageStencilData for more information. This filter also supports ignoring pixels with value equal to 0. Using this option with vtkImageMask may result in results being slightly off since 0 could be a valid value from your input. 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) -> vtkImageAccumulate C++: static vtkImageAccumulate *SafeDownCast(vtkObjectBase *o) NewInstanceV.NewInstance() -> vtkImageAccumulate C++: vtkImageAccumulate *NewInstance() SetComponentSpacingV.SetComponentSpacing(float, float, float) C++: void SetComponentSpacing(double, double, double) V.SetComponentSpacing((float, float, float)) C++: void SetComponentSpacing(double a[3]) GetComponentSpacingV.GetComponentSpacing() -> (float, float, float) C++: double *GetComponentSpacing() SetComponentOriginV.SetComponentOrigin(float, float, float) C++: void SetComponentOrigin(double, double, double) V.SetComponentOrigin((float, float, float)) C++: void SetComponentOrigin(double a[3]) GetComponentOriginV.GetComponentOrigin() -> (float, float, float) C++: double *GetComponentOrigin() SetComponentExtentV.SetComponentExtent([int, int, int, int, int, int]) C++: void SetComponentExtent(int extent[6]) V.SetComponentExtent(int, int, int, int, int, int) C++: void SetComponentExtent(int minX, int maxX, int minY, int maxY, int minZ, int maxZ) Set/Get - The component extent sets the number/extent of the bins. For a 1D histogram with 10 bins spanning the values 1000 to 2000, this extent should be set to 0, 9, 0, 0, 0, 0. The extent specifies inclusive min/max values. This implies that the top extent should be set to the number of bins - 1. Initial value is (0,255,0,0,0,0) GetComponentExtentV.GetComponentExtent([int, int, int, int, int, int]) C++: void GetComponentExtent(int extent[6]) V.GetComponentExtent() -> (int, int, int, int, int, int) C++: int *GetComponentExtent() Set/Get - The component extent sets the number/extent of the bins. For a 1D histogram with 10 bins spanning the values 1000 to 2000, this extent should be set to 0, 9, 0, 0, 0, 0. The extent specifies inclusive min/max values. This implies that the top extent should be set to the number of bins - 1. Initial value is (0,255,0,0,0,0) SetStencilDataV.SetStencilData(vtkImageStencilData) C++: void SetStencilData(vtkImageStencilData *stencil) Use a stencil to specify which voxels to accumulate. Backcompatible methods. It set and get the stencil on input port 1. Initial value is nullptr. GetStencilV.GetStencil() -> vtkImageStencilData C++: vtkImageStencilData *GetStencil() Use a stencil to specify which voxels to accumulate. Backcompatible methods. It set and get the stencil on input port 1. Initial value is nullptr. SetReverseStencilV.SetReverseStencil(int) C++: virtual void SetReverseStencil(int _arg) Reverse the stencil. Initial value is false. GetReverseStencilMinValueV.GetReverseStencilMinValue() -> int C++: virtual int GetReverseStencilMinValue() Reverse the stencil. Initial value is false. GetReverseStencilMaxValueV.GetReverseStencilMaxValue() -> int C++: virtual int GetReverseStencilMaxValue() Reverse the stencil. Initial value is false. ReverseStencilOnV.ReverseStencilOn() C++: virtual void ReverseStencilOn() Reverse the stencil. Initial value is false. ReverseStencilOffV.ReverseStencilOff() C++: virtual void ReverseStencilOff() Reverse the stencil. Initial value is false. GetReverseStencilV.GetReverseStencil() -> int C++: virtual int GetReverseStencil() Reverse the stencil. Initial value is false. GetMinV.GetMin() -> (float, float, float) C++: double *GetMin() GetMaxV.GetMax() -> (float, float, float) C++: double *GetMax() GetMeanV.GetMean() -> (float, float, float) C++: double *GetMean() GetStandardDeviationV.GetStandardDeviation() -> (float, float, float) C++: double *GetStandardDeviation() GetVoxelCountV.GetVoxelCount() -> int C++: virtual vtkIdType GetVoxelCount() Get the statistics information for the data. The values only make sense after the execution of the filter. Initial values are 0. SetIgnoreZeroV.SetIgnoreZero(int) C++: virtual void SetIgnoreZero(int _arg) Should the data with value 0 be ignored? Initial value is false. GetIgnoreZeroMinValueV.GetIgnoreZeroMinValue() -> int C++: virtual int GetIgnoreZeroMinValue() Should the data with value 0 be ignored? Initial value is false. GetIgnoreZeroMaxValueV.GetIgnoreZeroMaxValue() -> int C++: virtual int GetIgnoreZeroMaxValue() Should the data with value 0 be ignored? Initial value is false. GetIgnoreZeroV.GetIgnoreZero() -> int C++: virtual int GetIgnoreZero() Should the data with value 0 be ignored? Initial value is false. IgnoreZeroOnV.IgnoreZeroOn() C++: virtual void IgnoreZeroOn() Should the data with value 0 be ignored? Initial value is false. IgnoreZeroOffV.IgnoreZeroOff() C++: virtual void IgnoreZeroOff() Should the data with value 0 be ignored? Initial value is false. vtkImageAlgorithmvtkAlgorithmvtkObjectvtkObjectBasevtkImageStencilDatavtkImageHistogramLinearLogSqrtvtkImagingStatisticsPython.vtkImageHistogramvtkImageHistogram - Compute the histogram for an image. Superclass: vtkThreadedImageAlgorithm vtkImageHistogram generates a histogram from its input, and optionally produces a 2D black-and-white image of the histogram as its output. Unlike the class vtkImageAccumulate, a multi-component image does not result in a multi-dimensional histogram. Instead, the resulting histogram will be the sum of the histograms of each of the individual components, unless SetActiveComponent is used to choose a single component.@par Thanks: Thanks to David Gobbi at the Seaman Family MR Centre and Dept. of Clinical Neurosciences, Foothills Medical Centre, Calgary, for providing this class. V.SafeDownCast(vtkObjectBase) -> vtkImageHistogram C++: static vtkImageHistogram *SafeDownCast(vtkObjectBase *o) V.NewInstance() -> vtkImageHistogram C++: vtkImageHistogram *NewInstance() SetActiveComponentV.SetActiveComponent(int) C++: virtual void SetActiveComponent(int _arg) Set the component for which to generate a histogram. The default value is -1, which produces a histogram that is the sum of the histograms of the individual components. GetActiveComponentV.GetActiveComponent() -> int C++: virtual int GetActiveComponent() Set the component for which to generate a histogram. The default value is -1, which produces a histogram that is the sum of the histograms of the individual components. SetAutomaticBinningV.SetAutomaticBinning(int) C++: virtual void SetAutomaticBinning(int _arg) If this is On, then the histogram binning will be done automatically. For char and unsigned char data, there will be 256 bins with unit spacing. For data of type short and larger, there will be between 256 and MaximumNumberOfBins, depending on the range of the data, and the BinOrigin will be set to zero if no negative values are present, or to the smallest negative value if negative values are present. For float data, the MaximumNumberOfBins will always be used. The BinOrigin and BinSpacing will be set so that they provide a mapping from bin index to scalar value. AutomaticBinningOnV.AutomaticBinningOn() C++: virtual void AutomaticBinningOn() If this is On, then the histogram binning will be done automatically. For char and unsigned char data, there will be 256 bins with unit spacing. For data of type short and larger, there will be between 256 and MaximumNumberOfBins, depending on the range of the data, and the BinOrigin will be set to zero if no negative values are present, or to the smallest negative value if negative values are present. For float data, the MaximumNumberOfBins will always be used. The BinOrigin and BinSpacing will be set so that they provide a mapping from bin index to scalar value. AutomaticBinningOffV.AutomaticBinningOff() C++: virtual void AutomaticBinningOff() If this is On, then the histogram binning will be done automatically. For char and unsigned char data, there will be 256 bins with unit spacing. For data of type short and larger, there will be between 256 and MaximumNumberOfBins, depending on the range of the data, and the BinOrigin will be set to zero if no negative values are present, or to the smallest negative value if negative values are present. For float data, the MaximumNumberOfBins will always be used. The BinOrigin and BinSpacing will be set so that they provide a mapping from bin index to scalar value. GetAutomaticBinningV.GetAutomaticBinning() -> int C++: virtual int GetAutomaticBinning() If this is On, then the histogram binning will be done automatically. For char and unsigned char data, there will be 256 bins with unit spacing. For data of type short and larger, there will be between 256 and MaximumNumberOfBins, depending on the range of the data, and the BinOrigin will be set to zero if no negative values are present, or to the smallest negative value if negative values are present. For float data, the MaximumNumberOfBins will always be used. The BinOrigin and BinSpacing will be set so that they provide a mapping from bin index to scalar value. SetMaximumNumberOfBinsV.SetMaximumNumberOfBins(int) C++: virtual void SetMaximumNumberOfBins(int _arg) The maximum number of bins to use when AutomaticBinning is On. When AutomaticBinning is On, the size of the output histogram will be set to the full range of the input data values, unless the full range is greater than this value. By default, the max value is 65536, which is large enough to capture the full range of 16-bit integers. GetMaximumNumberOfBinsV.GetMaximumNumberOfBins() -> int C++: virtual int GetMaximumNumberOfBins() The maximum number of bins to use when AutomaticBinning is On. When AutomaticBinning is On, the size of the output histogram will be set to the full range of the input data values, unless the full range is greater than this value. By default, the max value is 65536, which is large enough to capture the full range of 16-bit integers. SetNumberOfBinsV.SetNumberOfBins(int) C++: virtual void SetNumberOfBins(int _arg) The number of bins in histogram (default 256). This is automatically computed unless AutomaticBinning is Off. GetNumberOfBinsV.GetNumberOfBins() -> int C++: virtual int GetNumberOfBins() The number of bins in histogram (default 256). This is automatically computed unless AutomaticBinning is Off. SetBinOriginV.SetBinOrigin(float) C++: virtual void SetBinOrigin(double _arg) The value for the center of the first bin (default 0). This is automatically computed unless AutomaticBinning is Off. GetBinOriginV.GetBinOrigin() -> float C++: virtual double GetBinOrigin() The value for the center of the first bin (default 0). This is automatically computed unless AutomaticBinning is Off. SetBinSpacingV.SetBinSpacing(float) C++: virtual void SetBinSpacing(double _arg) The bin spacing (default 1). This is automatically computed unless AutomaticBinning is Off. GetBinSpacingV.GetBinSpacing() -> float C++: virtual double GetBinSpacing() The bin spacing (default 1). This is automatically computed unless AutomaticBinning is Off. V.SetStencilData(vtkImageStencilData) C++: void SetStencilData(vtkImageStencilData *stencil) Use a stencil to compute the histogram for just a part of the image. V.GetStencil() -> vtkImageStencilData C++: vtkImageStencilData *GetStencil() Use a stencil to compute the histogram for just a part of the image. SetStencilConnectionV.SetStencilConnection(vtkAlgorithmOutput) C++: void SetStencilConnection(vtkAlgorithmOutput *algOutput) Equivalent to SetInputConnection(1, algOutput). SetGenerateHistogramImageV.SetGenerateHistogramImage(int) C++: virtual void SetGenerateHistogramImage(int _arg) If this is On, then a histogram image will be produced as the output. Regardless of this setting, the histogram is always available as a vtkIdTypeArray from the GetHistogram method. GenerateHistogramImageOnV.GenerateHistogramImageOn() C++: virtual void GenerateHistogramImageOn() If this is On, then a histogram image will be produced as the output. Regardless of this setting, the histogram is always available as a vtkIdTypeArray from the GetHistogram method. GenerateHistogramImageOffV.GenerateHistogramImageOff() C++: virtual void GenerateHistogramImageOff() If this is On, then a histogram image will be produced as the output. Regardless of this setting, the histogram is always available as a vtkIdTypeArray from the GetHistogram method. GetGenerateHistogramImageV.GetGenerateHistogramImage() -> int C++: virtual int GetGenerateHistogramImage() If this is On, then a histogram image will be produced as the output. Regardless of this setting, the histogram is always available as a vtkIdTypeArray from the GetHistogram method. SetHistogramImageSizeV.SetHistogramImageSize(int, int) C++: void SetHistogramImageSize(int, int) V.SetHistogramImageSize((int, int)) C++: void SetHistogramImageSize(int a[2]) GetHistogramImageSizeV.GetHistogramImageSize() -> (int, int) C++: int *GetHistogramImageSize() SetHistogramImageScaleV.SetHistogramImageScale(int) C++: virtual void SetHistogramImageScale(int _arg) Set the scale to use for the histogram image. The default is a linear scale, but sqrt and log provide better visualization. GetHistogramImageScaleMinValueV.GetHistogramImageScaleMinValue() -> int C++: virtual int GetHistogramImageScaleMinValue() Set the scale to use for the histogram image. The default is a linear scale, but sqrt and log provide better visualization. GetHistogramImageScaleMaxValueV.GetHistogramImageScaleMaxValue() -> int C++: virtual int GetHistogramImageScaleMaxValue() Set the scale to use for the histogram image. The default is a linear scale, but sqrt and log provide better visualization. SetHistogramImageScaleToLinearV.SetHistogramImageScaleToLinear() C++: void SetHistogramImageScaleToLinear() Set the scale to use for the histogram image. The default is a linear scale, but sqrt and log provide better visualization. SetHistogramImageScaleToLogV.SetHistogramImageScaleToLog() C++: void SetHistogramImageScaleToLog() Set the scale to use for the histogram image. The default is a linear scale, but sqrt and log provide better visualization. SetHistogramImageScaleToSqrtV.SetHistogramImageScaleToSqrt() C++: void SetHistogramImageScaleToSqrt() Set the scale to use for the histogram image. The default is a linear scale, but sqrt and log provide better visualization. GetHistogramImageScaleV.GetHistogramImageScale() -> int C++: virtual int GetHistogramImageScale() Set the scale to use for the histogram image. The default is a linear scale, but sqrt and log provide better visualization. GetHistogramImageScaleAsStringV.GetHistogramImageScaleAsString() -> string C++: const char *GetHistogramImageScaleAsString() Set the scale to use for the histogram image. The default is a linear scale, but sqrt and log provide better visualization. GetHistogramV.GetHistogram() -> vtkIdTypeArray C++: vtkIdTypeArray *GetHistogram() Get the histogram as a vtkIdTypeArray. You must call Update() before calling this method. GetTotalV.GetTotal() -> int C++: vtkIdType GetTotal() Get the total count of the histogram. This will be the number of voxels times the number of components. vtkThreadedImageAlgorithmvtkAlgorithmOutputvtkImageHistogramStatisticsvtkImagingStatisticsPython.vtkImageHistogramStatisticsvtkImageHistogramStatistics - Compute statistics for an image Superclass: vtkImageHistogram vtkImageHistogramStatistics computes statistics such as mean, median, and standard deviation. These statistics are computed from the histogram of the image, rather than from the image itself, because this is more efficient than computing the statistics while traversing the pixels. If the input image is of type float or double, then the precision of the Mean, Median, and StandardDeviation will depend on the number of histogram bins. By default, 65536 bins are used for float data, giving at least 16 bits of precision.@par Thanks: Thanks to David Gobbi at the Seaman Family MR Centre and Dept. of Clinical Neurosciences, Foothills Medical Centre, Calgary, for providing this class. V.SafeDownCast(vtkObjectBase) -> vtkImageHistogramStatistics C++: static vtkImageHistogramStatistics *SafeDownCast( vtkObjectBase *o) V.NewInstance() -> vtkImageHistogramStatistics C++: vtkImageHistogramStatistics *NewInstance() GetMinimumV.GetMinimum() -> float C++: double GetMinimum() Get the minimum value present in the image. This value is computed when Update() is called. GetMaximumV.GetMaximum() -> float C++: double GetMaximum() Get the maximum value present in the image. This value is computed when Update() is called. V.GetMean() -> float C++: double GetMean() Get the mean value of the image. This value is computed when Update() is called. GetMedianV.GetMedian() -> float C++: double GetMedian() Get the median value. This is computed when Update() is called. V.GetStandardDeviation() -> float C++: double GetStandardDeviation() Get the standard deviation of the values in the image. This is computed when Update() is called. SetAutoRangePercentilesV.SetAutoRangePercentiles(float, float) C++: void SetAutoRangePercentiles(double, double) V.SetAutoRangePercentiles((float, float)) C++: void SetAutoRangePercentiles(double a[2]) GetAutoRangePercentilesV.GetAutoRangePercentiles() -> (float, float) C++: double *GetAutoRangePercentiles() SetAutoRangeExpansionFactorsV.SetAutoRangeExpansionFactors(float, float) C++: void SetAutoRangeExpansionFactors(double, double) V.SetAutoRangeExpansionFactors((float, float)) C++: void SetAutoRangeExpansionFactors(double a[2]) GetAutoRangeExpansionFactorsV.GetAutoRangeExpansionFactors() -> (float, float) C++: double *GetAutoRangeExpansionFactors() GetAutoRangeV.GetAutoRange() -> (float, float) C++: double *GetAutoRange() real_initvtkImagingStatisticsPythoncan't get dictionary for module vtkImagingStatisticsPythonvtkImagingStatisticsPython,,a!gDDD 9` P`000!""#%&P'0(()*+@,--@/`124P568p9:@;;<=B`D EF@HDNXblvnxZdȲҲܲر (2<FP",6SHD3ph<=PiA6jC@kĹ@l'`nL o_@q)}rѾ0tvvpwcpx} yyz%P{|V|]}@~LZ+P`f ~ЂHD3<=A6;@0 CQe@ XЎh,`Pft%g  0'1G`E \, K&МE ? 0(О p enPHD3<=`A6p " )`8B]@u*B@ PQ"`1FppRASASASASASASASASASASASASASASASASASASASASASASASASASASASASAp8ppRASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASASAp8ppRASASASASASASASASASASASASASApHpQ>@_PyObject_GC_DelQr @_PyObject_GenericGetAttr @_PyObject_GenericSetAttr @_PyType_Type @__Py_NoneStructq@_PyVTKObject_AsBufferr @_PyVTKObject_Delete @_PyVTKObject_GetSet @_PyVTKObject_New @_PyVTKObject_Repr @_PyVTKObject_String @_PyVTKObject_Traverse @___stack_chk_guardq@dyld_stub_binderr>@_PyBytes_FromStringAndSizer>@_PyDict_SetItemStringr>@_PyErr_Clearr>@_PyErr_Occurredr >@_PyFloat_FromDoubler(>@_PyLong_FromLongr0>@_PyLong_FromLongLongr8>@_PyModule_Create2r@>@_PyModule_GetDictrH>@_PyType_ReadyrP>@_PyUnicode_FromStringAndSizerX@_PyVTKClass_Addr`@_PyVTKObject_Checkrh@_PyVTKObject_GetObjectrp@_PyVTKObject_SetFlagrx@_PyvtkImageAlgorithm_ClassNewr@_PyvtkThreadedImageAlgorithm_ClassNewr>@__Py_Deallocr>@__Py_FatalErrorFuncr @__ZN13vtkObjectBase8IsTypeOfEPKcr@__ZN13vtkPythonArgs10BuildTupleEPKdir@__ZN13vtkPythonArgs10BuildTupleEPKiir@__ZN13vtkPythonArgs13ArgCountErrorEiPKcr@__ZN13vtkPythonArgs13ArgCountErrorEiir@__ZN13vtkPythonArgs17GetArgAsVTKObjectEPKcRbr@__ZN13vtkPythonArgs19GetSelfFromFirstArgEP7_objectS1_r@__ZN13vtkPythonArgs8GetArrayEPdir@__ZN13vtkPythonArgs8GetArrayEPiir@__ZN13vtkPythonArgs8GetValueERPcr@__ZN13vtkPythonArgs8GetValueERdr@__ZN13vtkPythonArgs8GetValueERir@__ZN13vtkPythonArgs8SetArrayEiPKiir@__ZN13vtkPythonUtil20GetObjectFromPointerEP13vtkObjectBaser@__ZN17vtkImageHistogram10GetStencilEvr@__ZN17vtkImageHistogram12GetHistogramEvr@__ZN17vtkImageHistogram14SetStencilDataEP19vtkImageStencilDatar@__ZN17vtkImageHistogram20SetStencilConnectionEP18vtkAlgorithmOutputr@__ZN17vtkImageHistogram30GetHistogramImageScaleAsStringEvr@__ZN17vtkImageHistogram3NewEvr@__ZN18vtkImageAccumulate10GetStencilEvr@__ZN18vtkImageAccumulate14SetStencilDataEP19vtkImageStencilDatar@__ZN18vtkImageAccumulate18GetComponentExtentEPir@__ZN18vtkImageAccumulate18SetComponentExtentEPir@__ZN18vtkImageAccumulate18SetComponentExtentEiiiiiir@__ZN18vtkImageAccumulate3NewEvr@__ZN27vtkImageHistogramStatistics3NewEvr @___stack_chk_failr @_strcmpr @_strlen_Py1real_initvtkImagingStatisticsPythonvtkImageRVTKAddFile_vtkImage{Accumulate_ClassNewuHistogramAccumulateHistogram_ClassNewStatistics_ClassNewStatisticsPPP;gaphPij@k# @l^ `n  o @q rG 0t v v pw" pxc  y y z P{N || | } @~ J   `  .Ђb0Hz@& _@ MЎ`PS (h0'c`  !Мf0О0pm 09h`p N `6{@ X@AA@C4GSHu`MOP PQg#@C mg@(5EYj . 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