872 lines
153 KiB
Plaintext
872 lines
153 KiB
Plaintext
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H�5è L‰Ç½ ó¦—À „Àt¡¹
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H�5Ö L‰Ç½ ó¦—À „Àt‚L‰Çè AÿÿH�héqÿÿÿf�ATH�^ I‰ôUH‰ýH‰÷HƒìHH‰t$H‰D$è:@ÿÿH‰D$ H‹Eö€« €•À¶À‰D$(•À¶ÀH‰D$0uCHÇD$ H‹m(H…ít'HcT$(H‹D$ H)ÐHƒøt6H�|$º ¾ èº@ÿÿ1ÀHƒÄH]A\ÃH‰ïL‰æè…AÿÿH‰ÅH…Àuªëá H�t$H�|$èé>ÿÿ„ÀtË‹D$(L‹D$…ÀuH‹E H�- H‹@H9Ð…¸ ¹ H�5š_ L‰Ç½ ó¦—À „Àt¹ H�5l L‰Çó¦—À „Àu è’AÿÿH…À…_ÿÿÿHcýèAÿÿéTÿÿÿ @ ¹ H�5M L‰Çó¦—À „Àtǹ
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H�5E L‰Çó¦—À „Àt¹
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â
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à H9Èu^ƒ¿ð tLJð ÿ’¨ èÀ:ÿÿH…Àu›H‹ì¶ Hƒ HƒÄ8]A\à „ H‹‚Ð H�
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‚ H9ÈtœÿÐëÄf „ ¾ ÿÐë² € ATH�Ÿ I‰ôUH‰ýH‰÷HƒìHH‰t$H‰D$èú7ÿÿH‰D$ H‹Eö€« €•À¶À‰D$(•À¶ÀH‰D$0uCHÇD$ L‹e(M…ät'HcD$(H‹l$ H)ÅHƒýt6H�|$º ¾ èz8ÿÿ1ÀHƒÄH]A\ÃH‰ïL‰æèE9ÿÿH‰ÅH…Àuªëá H�t$H�|$è©6ÿÿ„ÀtË‹D$(L‹D$…ÀuI‹$H�
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H‹@H9Ð…Ð ¹ H�5ZW L‰Çó¦—À „Àt6¹ H�51 L‰Çó¦—À „Àu$èW9ÿÿH…À…dÿÿÿH‰ïèæ8ÿÿéYÿÿÿ�1íëà @ ¹ H�5
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L‰Ç½ ó¦—À „Àt½¹
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H�5 L‰Ç½ ó¦—À „Àtž¹
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H�5î L‰Ç½ ó¦—À „À„{ÿÿÿL‰Çè 7ÿÿH�héjÿÿÿf D L‰ÆL‰çÿÐH‰ÅéTÿÿÿATH�b I‰ôUH‰ýH‰÷Hƒì8H‰4$H‰D$è;6ÿÿH‰D$H‹Eö€« €•À¶À‰D$•À¶ÀH‰D$ u4H‹}(H…ÿtHcT$H9T$t7H‰ç1Ò1öèÓ6ÿÿE1äHƒÄ8L‰à]A\à D H‰ïL‰æè•7ÿÿH‰ÅH…Àu¹ëØ H‹H�N H‹’� H9Â…® è)7ÿÿH‰ÅH…ít9H‹E H�5¼U H‰ïÿP…Àt$è×7ÿÿH…Àt*H‰ïE1äè'7ÿÿHƒÄ8L‰à]A\à @ è³7ÿÿ1íH…À…eÿÿÿH‰ïè5ÿÿI‰ÄH…À„QÿÿÿH‰Çèl4ÿÿ…À„DÿÿÿL‰çè 6ÿÿ1öH‰ÇH‹ ÿPHº ¾ L‰çè?6ÿÿéÿÿÿf. „ ÿÒH‰ÅéPÿÿÿf D ATH�¹U I‰ôUH‰ýH‰÷HƒìHH‰t$H‰D$èÊ4ÿÿH‰D$ H‹Eö€« €•À¶À‰D$(•À¶ÀH‰D$0uCH‹m(H…ít'HcT$(H‹D$ H)ÐHƒøt?H�|$º ¾ èS5ÿÿHƒÄH1À]A\Ãf „ H‰ïL‰æè6ÿÿH‰ÅH…ÀuªëØ H�t$ H�|$è™5ÿÿ„Àt‹D$(‹t$ …ÀtY…ö¸ O𸠅öHð9µð tH‹E ‰µð H‰ïÿ�¨ èE6ÿÿH…À…yÿÿÿH‹m² Hƒ HƒÄH]A\Ãf „ H‹E H�
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õ H‹�¸ H9Êu1…öº Oòº …öHò9µð t£‰µð H‰ïÿ�¨ ë’ @ H‰ïÿÒë‡�ATUH‰ýHƒìH‹Fö€« tètþÿÿH…À”ÀHƒÄ¶À]A\÷ØÃ�¿ 1Àèd2ÿÿH‰ïI‰ÄH‰ÆèFþÿÿIƒ,$H‰Åt 1ÀH…í”À÷ØHƒÄ]A\Ãf. „ L‰çèX3ÿÿ1ÀH…í”À÷ØëÚff. „ �ATI‰ü1ÿUHƒì8è2ÿÿH‰ÅH‰$H�eS H‰ïH‰D$èÄ2ÿÿH‰D$I‹D$ö€« €•À¶À‰D$•À¶ÀH‰D$ u<I‹|$(H…ÿtHcT$H9T$tVH‰ç1Ò1öèZ3ÿÿE1äHƒm t(HƒÄ8L‰à]A\à D L‰çH‰îè4ÿÿI‰ÄH…Àu±ëÑ H‰ïè�2ÿÿHƒÄ8L‰à]A\à D …Òt$D‹§ð èp4ÿÿH…Àu¡Icüèã3ÿÿI‰Äë—f D H‹H� H‹€° H9ÐtÆÿÐA‰ÄëÆff. „ ATI‰ü1ÿUHƒì8èo1ÿÿH‰ÅH‰$H�JR H‰ïH‰D$è´1ÿÿH‰D$I‹D$ö€« €•À¶À‰D$•À¶ÀH‰D$ u<I‹|$(H…ÿtHcT$H9T$tVH‰ç1Ò1öèJ2ÿÿE1äHƒm t(HƒÄ8L‰à]A\à D L‰çH‰îè3ÿÿI‰ÄH…Àu±ëÑ H‰ïè€1ÿÿHƒÄ8L‰à]A\à D …Òt$L‹§è è`3ÿÿH…Àu¡L‰çèÃ0ÿÿI‰Äë—f D H‹H�þ H‹€ H9ÐtÆÿÐI‰ÄëÆff. „ ATH�=—Ð H�
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àíÿÿH�ßP H�5Ó èí1ÿÿH‰ÇI‰Äè21ÿÿöÄu+H�= è±2ÿÿL‰çH�5÷Ñ I‰„$ è
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3ÿÿL‰çèâ1ÿÿL‰àA\Ãff. „ �ATH�
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wíÿÿI‰üH�sP UH�=Ð H�5ŽÒ Hƒìèu1ÿÿH‰ÇH‰Åèº0ÿÿöÄtH…íu:HƒÄ]A\à „ H�= è$2ÿÿH‰ïH�5jÑ H‰… è~2ÿÿH‰ïèV1ÿÿH‰êH�5P L‰çè¤/ÿÿ…Àt°Hƒm u©HƒÄH‰ï]A\é
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0ÿÿf. „ ATH�ŽP I‰ôUH‰ýH‰÷HƒìHH‰t$H‰D$èŠ/ÿÿH‰D$ H‹Eö€« €•À¶À‰D$(•À¶ÀH‰D$0uCH‹m(H…ít'HcT$(H‹D$ H)ÐHƒøt?H�|$º ¾ è0ÿÿHƒÄH1À]A\Ãf „ H‰ïL‰æèÕ0ÿÿH‰ÅH…ÀuªëØ H�5óO H�T$H�|$è‚0ÿÿ€|$ H‰Ætµ‹D$(…Àu0H‹E H‰ïÿ�˜ è 1ÿÿH…Àu–H‹J Hƒ HƒÄH]A\Ãf D H‰ïè¨-ÿÿëÓf D ATUH‰ýHƒìH‹Fö€« tèÔþÿÿH…À”ÀHƒÄ¶À]A\÷ØÃ�¿ 1Àè„-ÿÿH‰ïI‰ÄH‰Æè¦þÿÿIƒ,$H‰Åt 1ÀH…í”À÷ØHƒÄ]A\Ãf. „ L‰çèx.ÿÿ1ÀH…í”À÷ØëÚff. „ �ATH�O I‰ôUH‰ýH‰÷HƒìHH‰t$H‰D$èê-ÿÿH‰D$ H‹Eö€« €•À¶À‰D$(•À¶ÀH‰D$0uCH‹m(H…ít'HcT$(H‹D$ H)ÐHƒøt?H�|$º ¾ ès.ÿÿ1ÀHƒÄH]A\Ãf „ H‰ïL‰æè5/ÿÿH‰ÅH…ÀuªëØ L�d$H‰æL‰çè˜/ÿÿ„ÀtÁH�t$L‰çèW-ÿÿ„Àt°‹D$(òD$H‹4$…Àu1H‹E H‰ïÿ�¨ èo/ÿÿH…Àu‡H‹›« Hƒ éyÿÿÿf. „ H‰ïèx/ÿÿëÒf D H‹‡è à „ ‹‡ð Ãf „ …ö¸ O𸠅öHð9·ð tH‹‰·ð ÿ ¨ D Ãf. „ D 1ÀÃf. „ ¸ Ãf. „ éë-ÿÿf. „ �I‰ð¹ H�5wL L‰Çó¦—À „Àu ¸ à D ¹ H�5C L‰Çó¦—À „ÀtÛ¹ H�5C L‰Çó¦—À „ÀtÁ¹
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H�5; L‰Çó¦—À „Àt§¹
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H�5. L‰Çó¦—À „Àt�L‰Çé8+ÿÿ „ H‹H�
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æþÿÿH‹�¸ H9Êu"ƒ¿ð tLJð ÿ ¨ �à € ¾ ÿâ�H‹H�
|
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¦þÿÿH‹�¸ H9Êu"‹—ð …ÒtLJð ÿ ¨ à € 1öÿâ @ I‰ð¹ H�5WK L‰Çó¦—À E1É„ÀuL‰Èà @ ¹ H�5#
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L‰ÇA¹ ó¦—À „Àtع H�5
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L‰ÇA¹ ó¦—À „Àt¸¹
|
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H�5
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L‰ÇA¹ ó¦—À „Àt˜¹
|
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H�5ü L‰ÇA¹ ó¦—À „À„tÿÿÿHƒìL‰Çè(+ÿÿHƒÄL�HL‰ÈÃf. „ f�ATH�=×Î ¾õ UHƒìèh,ÿÿH‰ÇI‰ÄèÍ)ÿÿH…À„ H‰ÆH�=’S H‰Åè’*ÿÿ„Àu Iƒ,$„³ H�tS H�5•S ë% è«+ÿÿ„Àu7Iƒ,$„¬ H�MS H�5¦S H‹�¨ H‹8HƒÄ1À]A\éö)ÿÿf D H‰ïè˜:ÿÿH‰ïèÀHÿÿH‰ïèxWÿÿH‰ïèpsÿÿH‰ïè(ÿÿH‰ïè ÿÿH‰ïè8ÝÿÿH‰ïè0ùÿÿH�=‰S èô+ÿÿHƒÄL‰à]A\Ãf „ L‰çè¸)ÿÿH�¹R H�5ÚR égÿÿÿ D L‰çè˜)ÿÿéGÿÿÿH�5dR H�=.S èà(ÿÿHƒìHƒÄà SafeDownCast vtkObjectBase vtkImageDivergence IsTypeOf IsA NewInstance vtkThreadedImageAlgorithm vtkImageAlgorithm vtkAlgorithm vtkObject GetNumberOfGenerationsFromBaseType GetNumberOfGenerationsFromBase vtkImageDivergence - Divergence of a vector field.
|
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Superclass: vtkThreadedImageAlgorithm
|
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|
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|
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vtkImageDivergence takes a 3D vector field and creates a scalar field
|
|||
|
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which which represents the rate of change of the vector field. The
|
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definition of Divergence: Given V = P(x,y,z), Q(x,y,z), R(x,y,z),
|
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|
|
Divergence = dP/dx + dQ/dy + dR/dz.
|
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|
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|
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vtkmodules.vtkImagingMath.vtkImageDivergence IsTypeOf(type:str) -> int
|
|||
|
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C++: static vtkTypeBool IsTypeOf(const char *type)
|
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|
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Return 1 if this class type is the same type of (or a subclass
|
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of) the named class. Returns 0 otherwise. This method works in
|
|||
|
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combination with vtkTypeMacro found in vtkSetGet.h.
|
|||
|
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IsA(self, type:str) -> int
|
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|
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C++: vtkTypeBool IsA(const char *type) override;
|
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Return 1 if this class is the same type of (or a subclass of) the
|
|||
|
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named class. Returns 0 otherwise. This method works in
|
|||
|
|
combination with vtkTypeMacro found in vtkSetGet.h.
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkImageDivergence
|
|||
|
|
C++: static vtkImageDivergence *SafeDownCast(vtkObjectBase *o)
|
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|
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|
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NewInstance(self) -> vtkImageDivergence
|
|||
|
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C++: vtkImageDivergence *NewInstance()
|
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|
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|
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GetNumberOfGenerationsFromBaseType(type:str) -> int
|
|||
|
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C++: static vtkIdType GetNumberOfGenerationsFromBaseType(
|
|||
|
|
const char *type)
|
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|
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|
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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;
|
|||
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|
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|
|
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.
|
|||
|
|
vtkImageDotProduct SetInput1Data vtkDataObject SetInput2Data input1_data input2_data vtkImageDotProduct - Dot product of two vector images.
|
|||
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|
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|
|
Superclass: vtkThreadedImageAlgorithm
|
|||
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|
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|
|
vtkImageDotProduct interprets the scalar components of two images as
|
|||
|
|
vectors and takes the dot product vector by vector (pixel by pixel).
|
|||
|
|
|
|||
|
|
vtkmodules.vtkImagingMath.vtkImageDotProduct write-only, Calls SetInput1Data
|
|||
|
|
write-only, Calls SetInput2Data
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkImageDotProduct
|
|||
|
|
C++: static vtkImageDotProduct *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkImageDotProduct
|
|||
|
|
C++: vtkImageDotProduct *NewInstance()
|
|||
|
|
|
|||
|
|
SetInput1Data(self, in_:vtkDataObject) -> None
|
|||
|
|
C++: virtual void SetInput1Data(vtkDataObject *in)
|
|||
|
|
|
|||
|
|
Set the two inputs to this filter
|
|||
|
|
SetInput2Data(self, in_:vtkDataObject) -> None
|
|||
|
|
C++: virtual void SetInput2Data(vtkDataObject *in)
|
|||
|
|
|
|||
|
|
vtkImageLogarithmicScale SetConstant GetConstant constant vtkImageLogarithmicScale - Passes each pixel through log function.
|
|||
|
|
|
|||
|
|
Superclass: vtkThreadedImageAlgorithm
|
|||
|
|
|
|||
|
|
vtkImageLogarithmicScale passes each pixel through the function
|
|||
|
|
c*log(1+x). It also handles negative values with the function
|
|||
|
|
-c*log(1-x).
|
|||
|
|
|
|||
|
|
vtkmodules.vtkImagingMath.vtkImageLogarithmicScale read-write, Calls GetConstant/SetConstant
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkImageLogarithmicScale
|
|||
|
|
C++: static vtkImageLogarithmicScale *SafeDownCast(
|
|||
|
|
vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkImageLogarithmicScale
|
|||
|
|
C++: vtkImageLogarithmicScale *NewInstance()
|
|||
|
|
|
|||
|
|
SetConstant(self, _arg:float) -> None
|
|||
|
|
C++: virtual void SetConstant(double _arg)
|
|||
|
|
|
|||
|
|
Set/Get the scale factor for the logarithmic function.
|
|||
|
|
GetConstant(self) -> float
|
|||
|
|
C++: virtual double GetConstant()
|
|||
|
|
|
|||
|
|
vtkImageLogic GetOutputTrueValue GetOperation SetOutputTrueValue SetOperationToNot SetOperationToAnd SetOperationToXor SetOperationToNand SetOperationToOr SetOperationToNor SetOperation VTK_AND VTK_OR VTK_XOR VTK_NAND VTK_NOR VTK_NOT VTK_NOP operation output_true_value vtkImageLogic - And, or, xor, nand, nor, not.
|
|||
|
|
|
|||
|
|
Superclass: vtkThreadedImageAlgorithm
|
|||
|
|
|
|||
|
|
vtkImageLogic implements basic logic operations. SetOperation is used
|
|||
|
|
to select the filter's behavior. The filter can take two or one
|
|||
|
|
input. Inputs must have the same type.
|
|||
|
|
|
|||
|
|
vtkmodules.vtkImagingMath.vtkImageLogic read-write, Calls GetOperation/SetOperation
|
|||
|
|
read-write, Calls GetOutputTrueValue/SetOutputTrueValue
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkImageLogic
|
|||
|
|
C++: static vtkImageLogic *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkImageLogic
|
|||
|
|
C++: vtkImageLogic *NewInstance()
|
|||
|
|
|
|||
|
|
SetOperation(self, _arg:int) -> None
|
|||
|
|
C++: virtual void SetOperation(int _arg)
|
|||
|
|
|
|||
|
|
Set/Get the Operation to perform.
|
|||
|
|
GetOperation(self) -> int
|
|||
|
|
C++: virtual int GetOperation()
|
|||
|
|
|
|||
|
|
SetOperationToAnd(self) -> None
|
|||
|
|
C++: void SetOperationToAnd()
|
|||
|
|
|
|||
|
|
SetOperationToOr(self) -> None
|
|||
|
|
C++: void SetOperationToOr()
|
|||
|
|
|
|||
|
|
SetOperationToXor(self) -> None
|
|||
|
|
C++: void SetOperationToXor()
|
|||
|
|
|
|||
|
|
SetOperationToNand(self) -> None
|
|||
|
|
C++: void SetOperationToNand()
|
|||
|
|
|
|||
|
|
SetOperationToNor(self) -> None
|
|||
|
|
C++: void SetOperationToNor()
|
|||
|
|
|
|||
|
|
SetOperationToNot(self) -> None
|
|||
|
|
C++: void SetOperationToNot()
|
|||
|
|
|
|||
|
|
SetOutputTrueValue(self, _arg:float) -> None
|
|||
|
|
C++: virtual void SetOutputTrueValue(double _arg)
|
|||
|
|
|
|||
|
|
Set the value to use for true in the output.
|
|||
|
|
GetOutputTrueValue(self) -> float
|
|||
|
|
C++: virtual double GetOutputTrueValue()
|
|||
|
|
|
|||
|
|
SetInput1Data(self, input:vtkDataObject) -> None
|
|||
|
|
C++: virtual void SetInput1Data(vtkDataObject *input)
|
|||
|
|
|
|||
|
|
Set the Input1 of this filter.
|
|||
|
|
SetInput2Data(self, input:vtkDataObject) -> None
|
|||
|
|
C++: virtual void SetInput2Data(vtkDataObject *input)
|
|||
|
|
|
|||
|
|
Set the Input2 of this filter.
|
|||
|
|
vtkImageMagnitude vtkImageMagnitude - Collapses components with magnitude function.
|
|||
|
|
|
|||
|
|
Superclass: vtkThreadedImageAlgorithm
|
|||
|
|
|
|||
|
|
vtkImageMagnitude takes the magnitude of the components.
|
|||
|
|
|
|||
|
|
vtkmodules.vtkImagingMath.vtkImageMagnitude SafeDownCast(o:vtkObjectBase) -> vtkImageMagnitude
|
|||
|
|
C++: static vtkImageMagnitude *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkImageMagnitude
|
|||
|
|
C++: vtkImageMagnitude *NewInstance()
|
|||
|
|
|
|||
|
|
vtkImageMaskBits GetMasks SetMask SetMasks masks mask write-only, Calls SetMask
|
|||
|
|
vtkImageMaskBits - applies a bit-mask pattern to each component.
|
|||
|
|
|
|||
|
|
Superclass: vtkThreadedImageAlgorithm
|
|||
|
|
|
|||
|
|
vtkImageMaskBits applies a bit-mask pattern to each component. The
|
|||
|
|
bit-mask can be applied using a variety of boolean bitwise operators.
|
|||
|
|
|
|||
|
|
vtkmodules.vtkImagingMath.vtkImageMaskBits read-write, Calls GetMasks/SetMasks
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkImageMaskBits
|
|||
|
|
C++: static vtkImageMaskBits *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkImageMaskBits
|
|||
|
|
C++: vtkImageMaskBits *NewInstance()
|
|||
|
|
|
|||
|
|
SetMasks(self, _arg1:int, _arg2:int, _arg3:int, _arg4:int) -> None
|
|||
|
|
C++: virtual void SetMasks(unsigned int _arg1, unsigned int _arg2,
|
|||
|
|
unsigned int _arg3, unsigned int _arg4)
|
|||
|
|
SetMasks(self, _arg:(int, int, int, int)) -> None
|
|||
|
|
C++: virtual void SetMasks(const unsigned int _arg[4])
|
|||
|
|
SetMasks(self, mask1:int, mask2:int) -> None
|
|||
|
|
C++: void SetMasks(unsigned int mask1, unsigned int mask2)
|
|||
|
|
SetMasks(self, mask1:int, mask2:int, mask3:int) -> None
|
|||
|
|
C++: void SetMasks(unsigned int mask1, unsigned int mask2,
|
|||
|
|
unsigned int mask3)
|
|||
|
|
|
|||
|
|
Set/Get the bit-masks. Default is 0xffffffff.
|
|||
|
|
SetMask(self, mask:int) -> None
|
|||
|
|
C++: void SetMask(unsigned int mask)
|
|||
|
|
|
|||
|
|
GetMasks(self) -> (int, int, int, int)
|
|||
|
|
C++: virtual unsigned int *GetMasks()
|
|||
|
|
|
|||
|
|
SetOperation(self, _arg:int) -> None
|
|||
|
|
C++: virtual void SetOperation(int _arg)
|
|||
|
|
|
|||
|
|
Set/Get the boolean operator. Default is AND.
|
|||
|
|
ÿÿÿÿÿÿÿÿvtkImageMathematics GetNumberOfInputs GetDivideByZeroToC GetConstantC GetConstantK SetDivideByZeroToC SetConstantC SetConstantK DivideByZeroToCOff DivideByZeroToCOn GetInput SetInputData SetOperationToDivide SetOperationToAdd SetOperationToSquareRoot SetOperationToMultiply SetOperationToATAN2 SetOperationToAddConstant SetOperationToAbsoluteValue SetOperationToExp SetOperationToSin SetOperationToLog SetOperationToCos SetOperationToConjugate SetOperationToInvert SetOperationToMin SetOperationToSquare SetOperationToMultiplyByK SetOperationToSubtract SetOperationToReplaceCByK SetOperationToComplexMultiply SetOperationToATAN SetOperationToMax SetInputConnection vtkAlgorithmOutput ReplaceNthInputConnection VTK_ADD VTK_SUBTRACT VTK_MULTIPLY VTK_DIVIDE VTK_INVERT VTK_SIN VTK_COS VTK_EXP VTK_LOG VTK_ABS VTK_SQR VTK_SQRT VTK_MIN VTK_MAX VTK_ATAN VTK_ATAN2 VTK_MULTIPLYBYK VTK_ADDC VTK_CONJUGATE VTK_COMPLEX_MULTIPLY VTK_REPLACECBYK constant_k constant_c divide_by_zero_to_c input_connection input_data input read-only, Calls GetInput
|
|||
|
|
vtkImageMathematics - Add, subtract, multiply, divide, invert, sin,
|
|||
|
|
cos, exp, log.
|
|||
|
|
|
|||
|
|
Superclass: vtkThreadedImageAlgorithm
|
|||
|
|
|
|||
|
|
vtkImageMathematics implements basic mathematic operations
|
|||
|
|
SetOperation is used to select the filters behavior. The filter can
|
|||
|
|
take two or one input.
|
|||
|
|
|
|||
|
|
vtkmodules.vtkImagingMath.vtkImageMathematics read-write, Calls GetConstantK/SetConstantK
|
|||
|
|
read-write, Calls GetConstantC/SetConstantC
|
|||
|
|
read-write, Calls GetDivideByZeroToC/SetDivideByZeroToC
|
|||
|
|
write-only, Calls SetInputConnection
|
|||
|
|
write-only, Calls SetInputData
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkImageMathematics
|
|||
|
|
C++: static vtkImageMathematics *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkImageMathematics
|
|||
|
|
C++: vtkImageMathematics *NewInstance()
|
|||
|
|
|
|||
|
|
SetOperationToAdd(self) -> None
|
|||
|
|
C++: void SetOperationToAdd()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the sum of the
|
|||
|
|
corresponding pixels in Input1 and Input2.
|
|||
|
|
SetOperationToSubtract(self) -> None
|
|||
|
|
C++: void SetOperationToSubtract()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the difference of the
|
|||
|
|
corresponding pixels in Input1 and Input2 (output = Input1 -
|
|||
|
|
Input2).
|
|||
|
|
SetOperationToMultiply(self) -> None
|
|||
|
|
C++: void SetOperationToMultiply()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the product of the
|
|||
|
|
corresponding pixels in Input1 and Input2.
|
|||
|
|
SetOperationToDivide(self) -> None
|
|||
|
|
C++: void SetOperationToDivide()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the quotient of the
|
|||
|
|
corresponding pixels in Input1 and Input2 (Output = Input1 /
|
|||
|
|
Input2).
|
|||
|
|
SetOperationToConjugate(self) -> None
|
|||
|
|
C++: void SetOperationToConjugate()
|
|||
|
|
|
|||
|
|
SetOperationToComplexMultiply(self) -> None
|
|||
|
|
C++: void SetOperationToComplexMultiply()
|
|||
|
|
|
|||
|
|
SetOperationToInvert(self) -> None
|
|||
|
|
C++: void SetOperationToInvert()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to 1 over the corresponding
|
|||
|
|
pixel in Input1 and Input2 (output = 1 / Input1). Input2 is not
|
|||
|
|
used.
|
|||
|
|
SetOperationToSin(self) -> None
|
|||
|
|
C++: void SetOperationToSin()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the sine of the
|
|||
|
|
corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToCos(self) -> None
|
|||
|
|
C++: void SetOperationToCos()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the cosine of the
|
|||
|
|
corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToExp(self) -> None
|
|||
|
|
C++: void SetOperationToExp()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the exponential of the
|
|||
|
|
corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToLog(self) -> None
|
|||
|
|
C++: void SetOperationToLog()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the log of the
|
|||
|
|
corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToAbsoluteValue(self) -> None
|
|||
|
|
C++: void SetOperationToAbsoluteValue()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the absolute value of the
|
|||
|
|
corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToSquare(self) -> None
|
|||
|
|
C++: void SetOperationToSquare()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the square of the
|
|||
|
|
corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToSquareRoot(self) -> None
|
|||
|
|
C++: void SetOperationToSquareRoot()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the square root of the
|
|||
|
|
corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToMin(self) -> None
|
|||
|
|
C++: void SetOperationToMin()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the minimum of the
|
|||
|
|
corresponding pixels in Input1 and Input2. (Output = min(Input1,
|
|||
|
|
Input2))
|
|||
|
|
SetOperationToMax(self) -> None
|
|||
|
|
C++: void SetOperationToMax()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the maximum of the
|
|||
|
|
corresponding pixels in Input1 and Input2. (Output = max(Input1,
|
|||
|
|
Input2))
|
|||
|
|
SetOperationToATAN(self) -> None
|
|||
|
|
C++: void SetOperationToATAN()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the arctangent of the
|
|||
|
|
corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToATAN2(self) -> None
|
|||
|
|
C++: void SetOperationToATAN2()
|
|||
|
|
|
|||
|
|
SetOperationToMultiplyByK(self) -> None
|
|||
|
|
C++: void SetOperationToMultiplyByK()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the product of ConstantK
|
|||
|
|
with the corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToAddConstant(self) -> None
|
|||
|
|
C++: void SetOperationToAddConstant()
|
|||
|
|
|
|||
|
|
Set each pixel in the output image to the product of ConstantC
|
|||
|
|
with the corresponding pixel in Input1. Input2 is not used.
|
|||
|
|
SetOperationToReplaceCByK(self) -> None
|
|||
|
|
C++: void SetOperationToReplaceCByK()
|
|||
|
|
|
|||
|
|
Find every pixel in Input1 that equals ConstantC and set the
|
|||
|
|
corresponding pixels in the Output to ConstantK. Input2 is not
|
|||
|
|
used.
|
|||
|
|
SetConstantK(self, _arg:float) -> None
|
|||
|
|
C++: virtual void SetConstantK(double _arg)
|
|||
|
|
|
|||
|
|
A constant used by some operations (typically multiplicative).
|
|||
|
|
Default is 1.
|
|||
|
|
GetConstantK(self) -> float
|
|||
|
|
C++: virtual double GetConstantK()
|
|||
|
|
|
|||
|
|
SetConstantC(self, _arg:float) -> None
|
|||
|
|
C++: virtual void SetConstantC(double _arg)
|
|||
|
|
|
|||
|
|
A constant used by some operations (typically additive). Default
|
|||
|
|
is 0.
|
|||
|
|
GetConstantC(self) -> float
|
|||
|
|
C++: virtual double GetConstantC()
|
|||
|
|
|
|||
|
|
SetDivideByZeroToC(self, _arg:int) -> None
|
|||
|
|
C++: virtual void SetDivideByZeroToC(vtkTypeBool _arg)
|
|||
|
|
|
|||
|
|
How to handle divide by zero. Default is 0.
|
|||
|
|
GetDivideByZeroToC(self) -> int
|
|||
|
|
C++: virtual vtkTypeBool GetDivideByZeroToC()
|
|||
|
|
|
|||
|
|
DivideByZeroToCOn(self) -> None
|
|||
|
|
C++: virtual void DivideByZeroToCOn()
|
|||
|
|
|
|||
|
|
DivideByZeroToCOff(self) -> None
|
|||
|
|
C++: virtual void DivideByZeroToCOff()
|
|||
|
|
|
|||
|
|
SetInput1Data(self, in_:vtkDataObject) -> None
|
|||
|
|
C++: virtual void SetInput1Data(vtkDataObject *in)
|
|||
|
|
|
|||
|
|
Set the inputs to this filter. For some operations, the second
|
|||
|
|
input is not used.
|
|||
|
|
SetInputConnection(self, idx:int, input:vtkAlgorithmOutput)
|
|||
|
|
-> None
|
|||
|
|
C++: void SetInputConnection(int idx, vtkAlgorithmOutput *input)
|
|||
|
|
override;
|
|||
|
|
SetInputConnection(self, input:vtkAlgorithmOutput) -> None
|
|||
|
|
C++: void SetInputConnection(vtkAlgorithmOutput *input) override;
|
|||
|
|
|
|||
|
|
Set the connection for the given input port index. Each input
|
|||
|
|
port of a filter has a specific purpose. A port may have zero or
|
|||
|
|
more connections and the required number is specified by each
|
|||
|
|
filter. Setting the connection with this method removes all
|
|||
|
|
other connections from the port. To add more than one connection
|
|||
|
|
use AddInputConnection().
|
|||
|
|
|
|||
|
|
* The input for the connection is the output port of another
|
|||
|
|
* filter, which is obtained with GetOutputPort(). Typical usage
|
|||
|
|
is
|
|||
|
|
|
|||
|
|
* filter2->SetInputConnection(0, filter1->GetOutputPort(0)).
|
|||
|
|
ReplaceNthInputConnection(self, idx:int, input:vtkAlgorithmOutput)
|
|||
|
|
-> None
|
|||
|
|
C++: virtual void ReplaceNthInputConnection(int idx,
|
|||
|
|
vtkAlgorithmOutput *input)
|
|||
|
|
|
|||
|
|
Replace one of the input connections with a new input. You can
|
|||
|
|
only replace input connections that you previously created with
|
|||
|
|
AddInputConnection() or, in the case of the first input, with
|
|||
|
|
SetInputConnection().
|
|||
|
|
SetInputData(self, idx:int, input:vtkDataObject) -> None
|
|||
|
|
C++: void SetInputData(int idx, vtkDataObject *input)
|
|||
|
|
SetInputData(self, input:vtkDataObject) -> None
|
|||
|
|
C++: void SetInputData(vtkDataObject *input)
|
|||
|
|
|
|||
|
|
Assign a data object as input. Note that this method does not
|
|||
|
|
establish a pipeline connection. Use SetInputConnection() to
|
|||
|
|
setup a pipeline connection.
|
|||
|
|
GetInput(self, idx:int) -> vtkDataObject
|
|||
|
|
C++: vtkDataObject *GetInput(int idx)
|
|||
|
|
GetInput(self) -> vtkDataObject
|
|||
|
|
C++: vtkDataObject *GetInput()
|
|||
|
|
|
|||
|
|
Get one input to this filter. This method is only for support of
|
|||
|
|
old-style pipeline connections. When writing new code you should
|
|||
|
|
use vtkAlgorithm::GetInputConnection(0, num).
|
|||
|
|
GetNumberOfInputs(self) -> int
|
|||
|
|
C++: int GetNumberOfInputs()
|
|||
|
|
|
|||
|
|
Get the number of inputs to this filter. This method is only for
|
|||
|
|
support of old-style pipeline connections. When writing new code
|
|||
|
|
you should use vtkAlgorithm::GetNumberOfInputConnections(0).
|
|||
|
|
vtkImageWeightedSum CalculateTotalWeight GetNormalizeByWeightMinValue GetNormalizeByWeightMaxValue GetWeights GetNormalizeByWeight NormalizeByWeightOff NormalizeByWeightOn SetNormalizeByWeight SetWeights vtkDoubleArray SetWeight weights normalize_by_weight vtkImageWeightedSum - adds any number of images, weighting each
|
|||
|
|
according to the weight set using this->SetWeights(i,w).
|
|||
|
|
|
|||
|
|
Superclass: vtkThreadedImageAlgorithm
|
|||
|
|
|
|||
|
|
All weights are normalized so they will sum to 1. Images must have
|
|||
|
|
the same extents. Output is
|
|||
|
|
|
|||
|
|
@par Thanks: The original author of this class is Lauren O'Donnell
|
|||
|
|
(MIT) for Slicer
|
|||
|
|
|
|||
|
|
vtkmodules.vtkImagingMath.vtkImageWeightedSum read-write, Calls GetWeights/SetWeights
|
|||
|
|
read-write, Calls GetNormalizeByWeight/SetNormalizeByWeight
|
|||
|
|
SafeDownCast(o:vtkObjectBase) -> vtkImageWeightedSum
|
|||
|
|
C++: static vtkImageWeightedSum *SafeDownCast(vtkObjectBase *o)
|
|||
|
|
|
|||
|
|
NewInstance(self) -> vtkImageWeightedSum
|
|||
|
|
C++: vtkImageWeightedSum *NewInstance()
|
|||
|
|
|
|||
|
|
SetWeights(self, __a:vtkDoubleArray) -> None
|
|||
|
|
C++: virtual void SetWeights(vtkDoubleArray *)
|
|||
|
|
|
|||
|
|
The weights control the contribution of each input to the sum.
|
|||
|
|
They will be normalized to sum to 1 before filter execution.
|
|||
|
|
GetWeights(self) -> vtkDoubleArray
|
|||
|
|
C++: virtual vtkDoubleArray *GetWeights()
|
|||
|
|
|
|||
|
|
SetWeight(self, id:int, weight:float) -> None
|
|||
|
|
C++: virtual void SetWeight(vtkIdType id, double weight)
|
|||
|
|
|
|||
|
|
Change a specific weight. Reallocation is done
|
|||
|
|
GetNormalizeByWeight(self) -> int
|
|||
|
|
C++: virtual vtkTypeBool GetNormalizeByWeight()
|
|||
|
|
|
|||
|
|
Setting NormalizeByWeight on will divide the final result by the
|
|||
|
|
total weight of the component functions. This process does not
|
|||
|
|
otherwise normalize the weighted sum By default,
|
|||
|
|
NormalizeByWeight is on.
|
|||
|
|
SetNormalizeByWeight(self, _arg:int) -> None
|
|||
|
|
C++: virtual void SetNormalizeByWeight(vtkTypeBool _arg)
|
|||
|
|
|
|||
|
|
GetNormalizeByWeightMinValue(self) -> int
|
|||
|
|
C++: virtual vtkTypeBool GetNormalizeByWeightMinValue()
|
|||
|
|
|
|||
|
|
GetNormalizeByWeightMaxValue(self) -> int
|
|||
|
|
C++: virtual vtkTypeBool GetNormalizeByWeightMaxValue()
|
|||
|
|
|
|||
|
|
NormalizeByWeightOn(self) -> None
|
|||
|
|
C++: virtual void NormalizeByWeightOn()
|
|||
|
|
|
|||
|
|
NormalizeByWeightOff(self) -> None
|
|||
|
|
C++: virtual void NormalizeByWeightOff()
|
|||
|
|
|
|||
|
|
CalculateTotalWeight(self) -> float
|
|||
|
|
C++: double CalculateTotalWeight()
|
|||
|
|
|
|||
|
|
Compute the total value of all the weight
|
|||
|
|
can't get dictionary for module vtkImagingMath vtkmodules.vtkCommonExecutionModel Failed to load vtkImagingMath: No module named %s Initialization failed for vtkImagingMath, not compatible with %s PyInit_vtkImagingMath ;Ì ø àÔþÿè ÀØþÿ° PÙþÿp àÙþÿ0 pÚþÿX Ûþÿ �Ûþÿœ Üþÿø) °ÜþÿH/ @Ýþÿ80 0Þþÿ @Þþÿ8 ßþÿˆ 0àþÿ¬ páþÿÐ ãþÿü �äþÿ4 Pæþÿ` Àæþÿ| pçþÿ$ €çþÿ\ èþÿp ðèþÿð éþÿ
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DBF 4 @ L$ÿÿ BŒF†DPx
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DBF d
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DBF 4 x $%ÿÿ© BŒK†J`j
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CBJ �
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ABE 4 ° œ&ÿÿ„ BŒA†G \
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DBD r
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ABK \ è ô&ÿÿ¤ BŒD†Jp¶
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CBE …
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CBF U
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ABH |
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CBG |
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CBG 4 H D/ÿÿ„ BŒA†G \
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DBD r
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ABK € œ/ÿÿd BŒa 0 œ ð/ÿÿ¦ BŒR†R ^
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ABI KDB Ð ì¾þÿ‰ D„ ì @rÿÿ! \rÿÿ Xrÿÿ) ( trÿÿ < prÿÿ) P Œrÿÿ d ˆrÿÿ! x ¤rÿÿ Œ rÿÿ ¬rÿÿ ´ ¸rÿÿ
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È $2ÿÿ¾ A†NPE
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AK ì À2ÿÿ |rÿÿ xrÿÿ˜ ( sÿÿ< < 0sÿÿ? P \sÿÿÄ °L h T2ÿÿ" AƒNPN
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AB Œ `3ÿÿ> A†NPN
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AB 0 ° |4ÿÿ» BŒK†JPZ
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CBJ wAB4 ä 5ÿÿÜ BŒK†JPZ
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CBJ x
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ABE 4 °5ÿÿß BŒK†JPZ
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CBJ {
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ABB 4 T X6ÿÿß BŒK†JPZ
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CBJ {
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ABB 4 Œ 7ÿÿÜ BŒK†JPZ
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CBJ x
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ABE 4 Ä ¨7ÿÿ BŒK†J`j
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CBJ z
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ABC 4 ü �8ÿÿ„ BŒA†G \
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DBD r
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ABK 4 4 è8ÿÿ BŒK†J`j
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CBJ h
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ABE 4 l Ð9ÿÿ„ BŒA†G \
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DBD r
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ABK 4 ¤ (:ÿÿ BŒF†DPx
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DBF d
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DBF 4 Ü ;ÿÿ BŒF†DPx
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DBF d
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DBF 4 Ø;ÿÿ BŒF†DPx
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DBF d
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DBF 4 L °<ÿÿ BŒF†DPx
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DBF d
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DBF 4 „ ˆ=ÿÿ7 BŒK†J`j
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CBJ k
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ABB 4 ¼ �>ÿÿ„ BŒA†G \
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DBD r
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ABK 4 ô è>ÿÿW BŒK†J`j
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CBJ {
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