A.I.M.S algorithms


g3dsmooth.h
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33 
34 
35 #ifndef AIMS_SIGNALFILTER_G3DSMOOTH_H
36 #define AIMS_SIGNALFILTER_G3DSMOOTH_H
37 
42 
43 
44 template< class T >
46 {
47 public:
48 
49  Gaussian3DSmoothing( float sx=1.0f, float sy=1.0f, float sz=1.0f );
50  virtual ~Gaussian3DSmoothing() { }
51 
52  AimsData< T > doit( const AimsData<T>& );
53 
54 private:
55 
56  float sigx;
57  float sigy;
58  float sigz;
59 };
60 
61 
62 template< class T > inline
63 Gaussian3DSmoothing< T >::Gaussian3DSmoothing( float sx, float sy, float sz )
64  : sigx( sx ), sigy( sy ), sigz( sz )
65 {
66  ASSERT( sigx >= 0.1f && sigx <= 100.0f );
67  ASSERT( sigy >= 0.1f && sigy <= 100.0f );
68  ASSERT( sigz >= 0.1f && sigz <= 100.0f );
69 }
70 
71 
72 template< class T > inline
74 {
75  float sx = sigx / data.sizeX();
76  float sy = sigy / data.sizeY();
77  float sz = sigz / data.sizeZ();
78 
81  dataF( data.dimX(), data.dimY(), data.dimZ(), data.dimT() );
82  dataF.setSizeX(data.sizeX());
83  dataF.setSizeY(data.sizeY());
84  dataF.setSizeZ(data.sizeZ());
85  conv.convert( data, dataF );
86 
87  GaussianSlices gsli;
88  gsli.doit( dataF, GCoef( sz ) );
89 
90  GaussianLines glin;
91  glin.doit( dataF, GCoef( sx ) );
92 
93  GaussianColumns gcol;
94  gcol.doit( dataF, GCoef( sy ) );
95 
97  AimsData<T> data3( data.dimX(), data.dimY(), data.dimZ(), data.dimT() );
98  conv2.convert( dataF, data3 );
99 
100  return data3;
101 }
102 
103 #endif
void doit(AimsData< float > &)
Gaussian3DSmoothing(float sx=1.0f, float sy=1.0f, float sz=1.0f)
Definition: g3dsmooth.h:63
AimsData< T > doit(const AimsData< T > &)
Definition: g3dsmooth.h:73
int dimX() const
float sizeY() const
int dimT() const
void setSizeX(float sizex)
void doit(AimsData< float > &)
Definition: gcoef.h:41
void doit(AimsData< float > &)
virtual void convert(const INP &in, OUTP &out) const
float sizeZ() const
float sizeX() const
int dimZ() const
int dimY() const
virtual ~Gaussian3DSmoothing()
Definition: g3dsmooth.h:50
#define ASSERT(EX)