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aimsalgo
5.0.5
Neuroimaging image processing
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#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 > &) |
Definition at line 45 of file gjacobian.h.
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inline |
Definition at line 63 of file gjacobian.h.
References ASSERT.
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inlinevirtual |
Definition at line 50 of file gjacobian.h.
References GaussianJacobian< T >::doit().
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inline |
Definition at line 73 of file gjacobian.h.
References AimsData< float >::clone(), carto::Converter< class, class >::convert(), AimsData< T >::dimT(), AimsData< T >::dimX(), AimsData< T >::dimY(), AimsData< T >::dimZ(), GaussianSlices::doit(), GaussianLines::doit(), GaussianColumns::doit(), GCoef::gradient, AimsData< T >::sizeX(), AimsData< T >::sizeY(), and AimsData< T >::sizeZ().
Referenced by GaussianJacobian< T >::~GaussianJacobian().