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

#include <aims/signalfilter/ggradient.h>

Public Member Functions

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

Detailed Description

template<class T>
class GaussianGradient< T >

Definition at line 46 of file ggradient.h.

Constructor & Destructor Documentation

◆ GaussianGradient()

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

Definition at line 64 of file ggradient.h.

References ASSERT.

◆ ~GaussianGradient()

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

Member Function Documentation

◆ doit()

◆ doitGradientVector()


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