X "x"__text__TEXT xh%__data__DATA *7__cstring__TEXT __compact_unwind__LD@@ +__eh_frame__TEXT " h2  P,9/  P%UHH=H5HH uHH=H]ÐUH]fDUHSPHH=H5HH uHH=H5^HHt H tH[]H=H[]fUHSH(HuHnHE؋FEHEHEH}Ѓu;Hut=H]H=Ht/HHcHu'1H([]ûHuHH([]UHAWAVSH(HuHHEDvDuHG]ԉ]؅y HHtwL(HEMtKA)AuFHuH}t1}LutNH=LtfLHt?1CH}1,HE1 ILLPHuHcH([A^A_]ûHuUHAVSH0HuHHEЋFEHEuGH5H}HU}t@HHtCHH5HPE1LEHu+H}Ⱦ1H0[A^]E1HuLUHAVSH HuHHEDvDuHG]]yHHH(HD9u3HPxHt9HHH5: HPE1LEHucH}111RE1HuCLHt6HHt)HHH1Q@H߾1HH [A^]UHAVSH0HuHHEDvDuHG]܉]y HHt%HG(HtD9uEHt1H}111 EHHH0[A^]DUHAVSH0HuHHEDvDuHG]܉]y HHt%HG(HtD9uEHt1H}111 EHHH0[A^]DUHAVSH0HuHHEDvDuHG]܉]y HHt%HG(HtD9uEHt1H}111 EHHH0[A^]DUHAVSH0HuHHEDvDuHG]܉]y HHt%HG(HtD9u(EHt1H}111 EHHH0[A^]DUHAVSH0HuHHEDvDuHG]܉]y HHt%HG(HtD9u EHt1H}111 EHHH0[A^]DUHSHHHHHE^HG)Ѓ*HuHHEȉ]ЉUԉU؅yHH H_(HHuH}HuH}}EM@f.uzHf.u{|@HHH^HuHHEȉ]ЉUԉU؅y HHtYH_(HtPHuH}t:EMHH0HuHHH51H H H;MuHH[]f.UHAWAVSH(HuHHED~D}HG]܉]y HHt$Lw(MtD9uEt&I@Ht.1:H}111)IL8IHuLHHH([A^A_]fDUHSHHHHHE^HG)Ѓ*HuHHEȉ]ЉUԉU؅yHH H_(HHuH}HuH}}EMPf.uzXf.u{|PXHH^HuHHEȉ]ЉUԉU؅y HHtYH_(HtPHuH}t:EMHHPHuHHH5^1H H H;MuHH[]f.UHAWAVSH(HuHHED~D}HG]܉]y HHt$Lw(MtD9uEt&IPHt.1:H}111)ILXIHuLHHH([A^A_]fDUHAWAVSH(HuHHED~D}HG]܉]y HHt$Lw(MtD9uEt&I0Ht.1:H}111)ILpIHuLHHH([A^A_]fDUHSPHH=PHtZH=OHtGH=VHt4H=UHt!H=OHtHH[]H[],HDcr{|u{!8Br?WvtkImageHistogramStatisticsvtkImagingStatisticsPython.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. 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) -> vtkImageHistogramStatistics C++: static vtkImageHistogramStatistics *SafeDownCast( vtkObjectBase *o) NewInstanceV.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. GetMeanV.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. GetStandardDeviationV.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() vtkImageHistogramvtkThreadedImageAlgorithmvtkImageAlgorithmvtkAlgorithmvtkObjectvtkObjectBaseOP ` a!`!`!!!@!! a  a@ a zRx $OAC $D AC $lAC B$PAC E$ AC I$AC G$ HAC G$4 AC G$\AC G$AC G$AC G$AC G$xAC E$$AC I$LAC E$tAC I$AC I$0AC Br +-` 8-X M 8-E : 8-2 ' 8-  8-  ,- - .- -~ 0-T % ,- - .- - 0- q 6-\ 7=S --L @ *=4 - 1- 0- w 3-b 3-< 0-&  7= ,- - .- -^ 0-4  6-7=--*=-1-0-|3-3-0-7=h-\.-D-0--.--|0-R(-.--0--|.-d-<0--.--0-rL%-/!-#-4--.--0-rS4-F-3.--/---|-Y.-=-6-*8-" 2-0---m.-W-O-C8-;,2-)---(--zslV5-IB-=6/(-'!-XH@8(     xh `XH@8( @8#"'&X$0  `@ `@  0fP7``O@ z  - p@ $` cd=RgN0tUy7-@m Q_PyType_Ready_PyvtkImageHistogramStatistics_ClassNew_PyvtkImageHistogram_ClassNew_PyVTKObject_New__ZL39PyvtkImageHistogramStatistics_StaticNewv__ZN27vtkImageHistogramStatistics3NewEv_PyVTKObject_GetSet__Py_NoneStruct_PyVTKObject_GetObject__ZL37PyvtkImageHistogramStatistics_Methods_PyVTKAddFile_vtkImageHistogramStatistics_PyObject_GenericSetAttr_PyObject_GenericGetAttr_PyVTKObject_Repr_PyVTKObject_AsBuffer_strcmp___stack_chk_fail_PyObject_GC_Del_PyVTKObject_Check__ZN13vtkPythonArgs13ArgCountErrorEii__ZN13vtkPythonArgs8GetArrayEPdi__ZN13vtkPythonArgs10BuildTupleEPKdi_PyLong_FromLong_PyDict_SetItemString_PyVTKObject_String_PyVTKObject_SetFlag_PyVTKObject_Delete_PyVTKObject_Traverse__ZN13vtkPythonUtil20GetObjectFromPointerEP13vtkObjectBase__ZL34PyvtkImageHistogramStatistics_Type_PyType_Type_PyFloat_FromDouble___stack_chk_guard_PyErr_Occurred_PyVTKClass_Add__ZN13vtkPythonArgs8GetValueERd__Py_Dealloc__ZN13vtkPythonArgs8GetValueERPc__ZN13vtkPythonArgs13ArgCountErrorEiPKc__ZN17vtkImageHistogram8IsTypeOfEPKc__ZN13vtkObjectBase8IsTypeOfEPKc__ZN13vtkPythonArgs17GetArgAsVTKObjectEPKcRb__ZN13vtkPythonArgs19GetSelfFromFirstArgEP7_objectS1___ZL42PyvtkImageHistogramStatistics_SafeDownCastP7_objectS0___ZL58PyvtkImageHistogramStatistics_SetAutoRangeExpansionFactorsP7_objectS0___ZL58PyvtkImageHistogramStatistics_GetAutoRangeExpansionFactorsP7_objectS0___ZL53PyvtkImageHistogramStatistics_SetAutoRangePercentilesP7_objectS0___ZL53PyvtkImageHistogramStatistics_GetAutoRangePercentilesP7_objectS0___ZL50PyvtkImageHistogramStatistics_GetStandardDeviationP7_objectS0___ZL39PyvtkImageHistogramStatistics_GetMedianP7_objectS0___ZL37PyvtkImageHistogramStatistics_GetMeanP7_objectS0___ZL40PyvtkImageHistogramStatistics_GetMaximumP7_objectS0___ZL40PyvtkImageHistogramStatistics_GetMinimumP7_objectS0___ZL38PyvtkImageHistogramStatistics_IsTypeOfP7_objectS0___ZL42PyvtkImageHistogramStatistics_GetAutoRangeP7_objectS0___ZL41PyvtkImageHistogramStatistics_NewInstanceP7_objectS0___ZL33PyvtkImageHistogramStatistics_IsAP7_objectS0_