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minread-only, Calls GetMin
maxread-only, Calls GetMax
meanread-only, Calls GetMean
standard_deviationvoxel_countvtkImageAlgorithmvtkAlgorithmvtkObjectGetNumberOfGenerationsFromBaseTypeGetNumberOfGenerationsFromBasevtkImageAccumulate - 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.

vtkmodules.vtkImagingStatistics.vtkImageAccumulateread-write, Calls GetComponentSpacing/SetComponentSpacing
read-write, Calls GetComponentOrigin/SetComponentOrigin
read-write, Calls GetComponentExtent/SetComponentExtent
write-only, Calls SetStencilData
read-write, Calls GetReverseStencil/SetReverseStencil
read-write, Calls GetIgnoreZero/SetIgnoreZero
read-only, Calls GetStandardDeviation
read-only, Calls GetVoxelCount
IsTypeOf(type:str) -> 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.
IsA(self, type:str) -> 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.
SafeDownCast(o:vtkObjectBase) -> vtkImageAccumulate
C++: static vtkImageAccumulate *SafeDownCast(vtkObjectBase *o)

NewInstance(self) -> vtkImageAccumulate
C++: vtkImageAccumulate *NewInstance()

GetNumberOfGenerationsFromBaseType(type:str) -> int
C++: static vtkIdType GetNumberOfGenerationsFromBaseType(
    const char *type)

Given a the name of a base class of this class type, return the
distance of inheritance between this class type and the named
class (how many generations of inheritance are there between this
class and the named class). If the named class is not in this
class's inheritance tree, return a negative value. Valid
responses will always be nonnegative. This method works in
combination with vtkTypeMacro found in vtkSetGet.h.
GetNumberOfGenerationsFromBase(self, type:str) -> int
C++: vtkIdType GetNumberOfGenerationsFromBase(const char *type)
    override;

Given the name of a base class of this class type, return the
distance of inheritance between this class type and the named
class (how many generations of inheritance are there between this
class and the named class). If the named class is not in this
class's inheritance tree, return a negative value. Valid
responses will always be nonnegative. This method works in
combination with vtkTypeMacro found in vtkSetGet.h.
SetComponentSpacing(self, _arg1:float, _arg2:float, _arg3:float)
    -> None
C++: virtual void SetComponentSpacing(double _arg1, double _arg2,
    double _arg3)
SetComponentSpacing(self, _arg:(float, float, float)) -> None
C++: virtual void SetComponentSpacing(const double _arg[3])

Set/Get - The component spacing is the dimension of each bin.
This ends up being the spacing of the output "image". If the
number of input scalar components are less than three, then some
of these spacing values are ignored. For a 1D histogram with 10
bins spanning the values 1000 to 2000, this spacing should be set
to 100, 0, 0. Initial value is (1.0,1.0,1.0).
GetComponentSpacing(self) -> (float, float, float)
C++: virtual double *GetComponentSpacing()

SetComponentOrigin(self, _arg1:float, _arg2:float, _arg3:float)
    -> None
C++: virtual void SetComponentOrigin(double _arg1, double _arg2,
    double _arg3)
SetComponentOrigin(self, _arg:(float, float, float)) -> None
C++: virtual void SetComponentOrigin(const double _arg[3])

Set/Get - The component origin is the location of bin (0, 0, 0).
Note that if the Component extent does not include the value
(0,0,0), then this origin bin will not actually be in the output.
The origin of the output ends up being the same as the component
origin. For a 1D histogram with 10 bins spanning the values 1000
to 2000, this origin should be set to 1000, 0, 0. Initial value
is (0.0,0.0,0.0).
GetComponentOrigin(self) -> (float, float, float)
C++: virtual double *GetComponentOrigin()

SetComponentExtent(self, extent:[int, int, int, int, int, int])
    -> None
C++: void SetComponentExtent(int extent[6])
SetComponentExtent(self, minX:int, maxX:int, minY:int, maxY:int,
    minZ:int, maxZ:int) -> None
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)
GetComponentExtent(self, extent:[int, int, int, int, int, int])
    -> None
C++: void GetComponentExtent(int extent[6])
GetComponentExtent(self) -> (int, int, int, int, int, int)
C++: int *GetComponentExtent()

SetStencilData(self, stencil:vtkImageStencilData) -> None
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.
GetStencil(self) -> vtkImageStencilData
C++: vtkImageStencilData *GetStencil()

SetReverseStencil(self, _arg:int) -> None
C++: virtual void SetReverseStencil(vtkTypeBool _arg)

Reverse the stencil. Initial value is false.
GetReverseStencilMinValue(self) -> int
C++: virtual vtkTypeBool GetReverseStencilMinValue()

GetReverseStencilMaxValue(self) -> int
C++: virtual vtkTypeBool GetReverseStencilMaxValue()

ReverseStencilOn(self) -> None
C++: virtual void ReverseStencilOn()

ReverseStencilOff(self) -> None
C++: virtual void ReverseStencilOff()

GetReverseStencil(self) -> int
C++: virtual vtkTypeBool GetReverseStencil()

GetMin(self) -> (float, float, float)
C++: virtual double *GetMin()

Get the statistics information for the data. The values only make
sense after the execution of the filter. Initial values are 0.
GetMax(self) -> (float, float, float)
C++: virtual double *GetMax()

GetMean(self) -> (float, float, float)
C++: virtual double *GetMean()

GetStandardDeviation(self) -> (float, float, float)
C++: virtual double *GetStandardDeviation()

GetVoxelCount(self) -> int
C++: virtual vtkIdType GetVoxelCount()

SetIgnoreZero(self, _arg:int) -> None
C++: virtual void SetIgnoreZero(vtkTypeBool _arg)

Should the data with value 0 be ignored? Initial value is false.
GetIgnoreZeroMinValue(self) -> int
C++: virtual vtkTypeBool GetIgnoreZeroMinValue()

GetIgnoreZeroMaxValue(self) -> int
C++: virtual vtkTypeBool GetIgnoreZeroMaxValue()

GetIgnoreZero(self) -> int
C++: virtual vtkTypeBool GetIgnoreZero()

IgnoreZeroOn(self) -> None
C++: virtual void IgnoreZeroOn()

IgnoreZeroOff(self) -> None
C++: virtual void IgnoreZeroOff()

vtkImageHistogramGetTotalGetHistogramGetHistogramImageSizeGetHistogramImageScaleGetBinSpacingGetGenerateHistogramImageGetActiveComponentGetBinOriginGetMaximumNumberOfBinsGetNumberOfBinsGetAutomaticBinningSetStencilConnectionvtkAlgorithmOutputSetHistogramImageScaleToLogSetHistogramImageScaleToSqrtSetBinOriginSetNumberOfBinsSetBinSpacingSetActiveComponentSetMaximumNumberOfBinsSetGenerateHistogramImageSetAutomaticBinningAutomaticBinningOffAutomaticBinningOnGenerateHistogramImageOnGenerateHistogramImageOffSetHistogramImageScaleSetHistogramImageSizeLinearactive_componentautomatic_binningmaximum_number_of_binsbin_originbin_spacingstencil_connectiongenerate_histogram_imagehistogram_image_sizehistogram_image_scalehistogramtotalread-only, Calls GetTotal
vtkThreadedImageAlgorithmGetHistogramImageScaleMinValueGetHistogramImageScaleMaxValueGetHistogramImageScaleAsStringSetHistogramImageScaleToLinearvtkImageHistogram - 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.

vtkmodules.vtkImagingStatistics.vtkImageHistogramread-write, Calls GetActiveComponent/SetActiveComponent
read-write, Calls GetAutomaticBinning/SetAutomaticBinning
read-write, Calls GetMaximumNumberOfBins/SetMaximumNumberOfBins
read-write, Calls GetBinOrigin/SetBinOrigin
read-write, Calls GetBinSpacing/SetBinSpacing
write-only, Calls SetStencilConnection
read-write, Calls GetGenerateHistogramImage/SetGenerateHistogramImage
read-write, Calls GetHistogramImageSize/SetHistogramImageSize
read-write, Calls GetHistogramImageScale/SetHistogramImageScale
read-only, Calls GetHistogram
read-write, Calls GetNumberOfBins/SetNumberOfBins
SafeDownCast(o:vtkObjectBase) -> vtkImageHistogram
C++: static vtkImageHistogram *SafeDownCast(vtkObjectBase *o)

NewInstance(self) -> vtkImageHistogram
C++: vtkImageHistogram *NewInstance()

SetActiveComponent(self, _arg:int) -> None
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.
GetActiveComponent(self) -> int
C++: virtual int GetActiveComponent()

SetAutomaticBinning(self, _arg:int) -> None
C++: virtual void SetAutomaticBinning(vtkTypeBool _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.
AutomaticBinningOn(self) -> None
C++: virtual void AutomaticBinningOn()

AutomaticBinningOff(self) -> None
C++: virtual void AutomaticBinningOff()

GetAutomaticBinning(self) -> int
C++: virtual vtkTypeBool GetAutomaticBinning()

SetMaximumNumberOfBins(self, _arg:int) -> None
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.
GetMaximumNumberOfBins(self) -> int
C++: virtual int GetMaximumNumberOfBins()

SetNumberOfBins(self, _arg:int) -> None
C++: virtual void SetNumberOfBins(int _arg)

The number of bins in histogram (default 256).  This is
automatically computed unless AutomaticBinning is Off.
GetNumberOfBins(self) -> int
C++: virtual int GetNumberOfBins()

SetBinOrigin(self, _arg:float) -> None
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.
GetBinOrigin(self) -> float
C++: virtual double GetBinOrigin()

SetBinSpacing(self, _arg:float) -> None
C++: virtual void SetBinSpacing(double _arg)

The bin spacing (default 1).  This is automatically computed
unless AutomaticBinning is Off.
GetBinSpacing(self) -> float
C++: virtual double GetBinSpacing()

SetStencilData(self, stencil:vtkImageStencilData) -> None
C++: void SetStencilData(vtkImageStencilData *stencil)

Use a stencil to compute the histogram for just a part of the
image.
SetStencilConnection(self, algOutput:vtkAlgorithmOutput) -> None
C++: void SetStencilConnection(vtkAlgorithmOutput *algOutput)

Equivalent to SetInputConnection(1, algOutput).
SetGenerateHistogramImage(self, _arg:int) -> None
C++: virtual void SetGenerateHistogramImage(vtkTypeBool _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.
GenerateHistogramImageOn(self) -> None
C++: virtual void GenerateHistogramImageOn()

GenerateHistogramImageOff(self) -> None
C++: virtual void GenerateHistogramImageOff()

GetGenerateHistogramImage(self) -> int
C++: virtual vtkTypeBool GetGenerateHistogramImage()

SetHistogramImageSize(self, _arg1:int, _arg2:int) -> None
C++: virtual void SetHistogramImageSize(int _arg1, int _arg2)
SetHistogramImageSize(self, _arg:(int, int)) -> None
C++: void SetHistogramImageSize(const int _arg[2])

Set the size of the histogram image that is produced as output.
The default is 256 by 256.
GetHistogramImageSize(self) -> (int, int)
C++: virtual int *GetHistogramImageSize()

SetHistogramImageScale(self, _arg:int) -> None
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.
GetHistogramImageScaleMinValue(self) -> int
C++: virtual int GetHistogramImageScaleMinValue()

GetHistogramImageScaleMaxValue(self) -> int
C++: virtual int GetHistogramImageScaleMaxValue()

SetHistogramImageScaleToLinear(self) -> None
C++: void SetHistogramImageScaleToLinear()

SetHistogramImageScaleToLog(self) -> None
C++: void SetHistogramImageScaleToLog()

SetHistogramImageScaleToSqrt(self) -> None
C++: void SetHistogramImageScaleToSqrt()

GetHistogramImageScale(self) -> int
C++: virtual int GetHistogramImageScale()

GetHistogramImageScaleAsString(self) -> str
C++: const char *GetHistogramImageScaleAsString()

GetHistogram(self) -> vtkIdTypeArray
C++: vtkIdTypeArray *GetHistogram()

Get the histogram as a vtkIdTypeArray.  You must call Update()
before calling this method.
GetTotal(self) -> int
C++: vtkIdType GetTotal()

Get the total count of the histogram.  This will be the number of
voxels times the number of components.
vtkImageHistogramStatisticsGetMinimumGetMaximumGetMedianGetAutoRangePercentilesGetAutoRangeGetAutoRangeExpansionFactorsSetAutoRangeExpansionFactorsSetAutoRangePercentilesauto_range_percentilesauto_range_expansion_factorsminimumread-only, Calls GetMinimum
maximumread-only, Calls GetMaximum
medianread-only, Calls GetMedian
auto_rangevtkImageHistogramStatistics - 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.

vtkmodules.vtkImagingStatistics.vtkImageHistogramStatisticsread-write, Calls GetAutoRangePercentiles/SetAutoRangePercentiles
read-write, Calls GetAutoRangeExpansionFactors/SetAutoRangeExpansionFactors
read-only, Calls GetAutoRange
SafeDownCast(o:vtkObjectBase) -> vtkImageHistogramStatistics
C++: static vtkImageHistogramStatistics *SafeDownCast(
    vtkObjectBase *o)

NewInstance(self) -> vtkImageHistogramStatistics
C++: vtkImageHistogramStatistics *NewInstance()

GetMinimum(self) -> float
C++: double GetMinimum()

Get the minimum value present in the image.  This value is
computed when Update() is called.
GetMaximum(self) -> float
C++: double GetMaximum()

Get the maximum value present in the image.  This value is
computed when Update() is called.
GetMean(self) -> float
C++: double GetMean()

Get the mean value of the image.  This value is computed when
Update() is called.
GetMedian(self) -> float
C++: double GetMedian()

Get the median value.  This is computed when Update() is called.
GetStandardDeviation(self) -> float
C++: double GetStandardDeviation()

Get the standard deviation of the values in the image.  This is
computed when Update() is called.
SetAutoRangePercentiles(self, _arg1:float, _arg2:float) -> None
C++: virtual void SetAutoRangePercentiles(double _arg1,
    double _arg2)
SetAutoRangePercentiles(self, _arg:(float, float)) -> None
C++: void SetAutoRangePercentiles(const double _arg[2])

Set the percentiles to use for automatic view range computation.
This allows one to compute a range that does not include outliers
that are significantly darker or significantly brighter than the
rest of the pixels in the image.  The default is to use the first
percentile and the 99th percentile.
GetAutoRangePercentiles(self) -> (float, float)
C++: virtual double *GetAutoRangePercentiles()

SetAutoRangeExpansionFactors(self, _arg1:float, _arg2:float)
    -> None
C++: virtual void SetAutoRangeExpansionFactors(double _arg1,
    double _arg2)
SetAutoRangeExpansionFactors(self, _arg:(float, float)) -> None
C++: void SetAutoRangeExpansionFactors(const double _arg[2])

Set lower and upper expansion factors to apply to the auto range
that was computed from the AutoRangePercentiles.  Any outliers
that are within this expanded range will be included, even if
they are beyond the percentile.  This allows inclusion of values
that are just slightly outside of the percentile, while rejecting
values that are far beyond the percentile.  The default is to
expand the range by a factor of 0.1 at each end.  The range will
never be expanded beyond the Minimum or Maximum pixel values.
GetAutoRangeExpansionFactors(self) -> (float, float)
C++: virtual double *GetAutoRangeExpansionFactors()

GetAutoRange(self) -> (float, float)
C++: virtual double *GetAutoRange()

Get an automatically computed view range for the image, for use
with the lookup table or image property that is used when viewing
the image.  The use of this range will avoid situations where an
image looks too dark because a few pixels happen to be much
brighter than the rest.
can't get dictionary for module vtkImagingStatisticsvtkmodules.vtkCommonExecutionModelFailed to load vtkImagingStatistics: No module named %sInitialization failed for vtkImagingStatistics, not compatible with %sPyInit_vtkImagingStatistics
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