ELF>PX@@0/UH@dH%(HD$81HHt$HD$HFHD$$D$ t0H|$1HT$8dH+%(uhH@]@HT$H|$H5|$HtHt+HH5HPtHuH1Huff.fUSHHdH%(HD$81HHt$HD$HFHD$$D$ HD$t6H|$1HT$8dH+%(HH[]DHt$H|$tHl$H=HtHH=uHuHc@HH=tHH=tHH=tHff.ATUSH@fnFdH%(HD$81HHt$HD$HGfnȉD$(fbfD$ uYHD$Ho(Ht!\$ +\$$tJH|$1HT$8dH+%(H@[]A\HHuːHt$H|$tD$$Ld$u`HELH@H;H=tLH=u-HaHcVf.LLH=tLH=tLH=tLHЉfSH0fnFdH%(HD$(1HH4$HD$HGfnȉD$fbfD$u=H(HtD$9D$t:H111HT$(dH+%(uZH0[fDHHuӐtHuHcHHH;tЉff.fSH0fnFdH%(HD$(1HH4$HD$HGfnȉD$fbfD$u=H(HtD$9D$t:H111HT$(dH+%(uZH0[fDHHuӐtHuHcHHH;tЉff.fSH0fnFdH%(HD$(1HH4$HD$HGfnȉD$fbfD$u=H(HtD$9D$t:H111HT$(dH+%(uUH0[fDHHuӐtHuHcfHHH;tЉfSH0fnFdH%(HD$(1HH4$HD$HGfnȉD$fbfD$u=H(HtD$9D$t:H111HT$(dH+%(uUH0[fDHHuӐtHuHcfHHhH;tЉfUH@fnFdH%(HD$81HHt$HD$HGfnȉD$(fbfD$ uLHo(Ht!D$ +D$$tFH|$1HT$8dH+%(uaH@]f.HHuϐHT$H|$H5|$Ht1HHuHHf.UH@fnFdH%(HD$81HHt$HD$HGfnȉD$(fbfD$ uLHo(Ht!D$ +D$$tFH|$1HT$8dH+%(udH@]f.HHuϐHT$H|$H5|$HtHHuHHH8fnFdH%(HD$(1HH4$HD$HGfnȉD$fbfD$u>H(HtD$9D$t;H111HT$(dH+%(H8@HHuҐHtIH`H;uQtLJHuHHHxH;t@1ff.fH8fnFdH%(HD$(1HH4$HD$HGfnȉD$fbfD$u>H(HtD$9D$t;H111HT$(dH+%(H8@HHuҐHtIH`H;uQtLJHuHHfHpH;t@f.UH@fnFdH%(HD$81HHt$HD$HGfnȉD$(fbfD$ uLHo(Ht!D$ +D$$tFH|$1HT$8dH+%(H@]fDHHuϐHt$ H|$tD$$t$ tQ9O9L9tHEHHrHHd@HEHH;u49O9L9tHHff.UH@fnFdH%(HD$81HHt$HD$HGfnȉD$(fbfD$ uLHo(Ht!D$ +D$$tFH|$1HT$8dH+%(H@]fDHHuϐHt$ H|$tD$$t$ t99tHEHHuHH|@HEH`H;u;tƉHHff.ATH0fnFdH%(HD$(1HH4$HD$HGfnȉD$fbfD$uDH(HtD$9D$tIH11E1HD$(dH+%(H0LA\@HHufHHRxH;IMtoI$H5LPtZHuLIHoHbL1HHP@L8fE1H"DIjfATL%H HH5LuLHLA\ATIUHHtHH5LHu_1HHtHH5LHmtgHHtHH5LHmt$H]A\@HmuHHH]A\fH9tHD9O9L9tHSafeDownCastvtkObjectBasevtkImageNonMaximumSuppressionIsTypeOfIsAGetDimensionalityMinValueGetDimensionalityMaxValueGetDimensionalityGetHandleBoundariesSetMagnitudeInputDatavtkImageDataSetVectorInputDataHandleBoundariesOffHandleBoundariesOnSetDimensionalitySetHandleBoundariesNewInstancevtkThreadedImageAlgorithmvtkImageAlgorithmvtkAlgorithmvtkObjectUH=Hu]ÐHH=tHH=tHH=tHH=tH]HH`H;u!tLJHH`H;u)tLJ1VTK_IMAGE_NON_MAXIMUM_SUPPRESSION_MAGNITUDE_INPUTVTK_IMAGE_NON_MAXIMUM_SUPPRESSION_VECTOR_INPUTvtkImageNonMaximumSuppression - 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. vtkImagingMorphologicalPython.vtkImageNonMaximumSuppressionV.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. V.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. V.SafeDownCast(vtkObjectBase) -> vtkImageNonMaximumSuppression C++: static vtkImageNonMaximumSuppression *SafeDownCast( vtkObjectBase *o) V.NewInstance() -> vtkImageNonMaximumSuppression C++: vtkImageNonMaximumSuppression *NewInstance() V.SetMagnitudeInputData(vtkImageData) C++: void SetMagnitudeInputData(vtkImageData *input) Set the magnitude and vector inputs. V.SetVectorInputData(vtkImageData) C++: void SetVectorInputData(vtkImageData *input) Set the magnitude and vector inputs. V.SetHandleBoundaries(int) C++: virtual void SetHandleBoundaries(int _arg) If "HandleBoundariesOn" then boundary pixels are duplicated So central differences can get values. V.GetHandleBoundaries() -> int C++: virtual int GetHandleBoundaries() If "HandleBoundariesOn" then boundary pixels are duplicated So central differences can get values. V.HandleBoundariesOn() C++: virtual void HandleBoundariesOn() If "HandleBoundariesOn" then boundary pixels are duplicated So central differences can get values. V.HandleBoundariesOff() C++: virtual void HandleBoundariesOff() If "HandleBoundariesOn" then boundary pixels are duplicated So central differences can get values. 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