aimsalgo  5.0.5
Neuroimaging image processing
GaussianJacobian< T > Class Template Reference

#include <aims/signalfilter/gjacobian.h>

Public Member Functions

 GaussianJacobian (float sx=1.0f, float sy=1.0f, float sz=1.0f)
 
virtual ~GaussianJacobian ()
 
AimsVector< AimsData< float >, 3 > doit (const AimsData< T > &)
 

Detailed Description

template<class T>
class GaussianJacobian< T >

Definition at line 45 of file gjacobian.h.

Constructor & Destructor Documentation

◆ GaussianJacobian()

template<class T >
GaussianJacobian< T >::GaussianJacobian ( float  sx = 1.0f,
float  sy = 1.0f,
float  sz = 1.0f 
)
inline

Definition at line 63 of file gjacobian.h.

References ASSERT.

◆ ~GaussianJacobian()

template<class T>
virtual GaussianJacobian< T >::~GaussianJacobian ( )
inlinevirtual

Definition at line 50 of file gjacobian.h.

References GaussianJacobian< T >::doit().

Member Function Documentation

◆ doit()


The documentation for this class was generated from the following file: