aimsalgo  5.0.5
Neuroimaging image processing
minfilter.h
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33 
34 
35 #ifndef AIMS_SIGNALFILTER_MINFILTER_H
36 #define AIMS_SIGNALFILTER_MINFILTER_H
37 
41 
42 namespace aims {
43 
44  template <typename T>
46  {
47  public:
49  MinFilter( const StructuringElement & se = strel::Cube(1.0),
50  const carto::Object & options = carto::none() ):
51  ElementFilteringImageAlgorithm<T>( MinFilterFunc<ChannelType>( options ),
52  se )
53  {}
54  MinFilter( const carto::Object & options ):
55  ElementFilteringImageAlgorithm<T>( MinFilterFunc<ChannelType>( options ),
56  strel::Cube(1.0) )
57  {}
58  MinFilter( const MinFilter<T> & other ):
60  {}
62  MinFilter<T> & operator=( const MinFilter<T> & other )
63  {
65  return *this;
66  }
67  MinFilter<T> *clone() const { return new MinFilter<T>(*this); }
68  };
69 
70 } // namespace aims
71 
72 //============================================================================
73 // Backward compatibility bindings
74 //============================================================================
75 
76 #include <aims/data/data_g.h>
77 #include <vector>
78 
79 template <typename T>
81 {
82  public:
83  MinSmoothing( int sx = 3, int sy = 3, int sz = 3 );
84  virtual ~MinSmoothing();
85  virtual AimsData<T> doit( const AimsData<T>& in );
86  private:
88  int _sx;
89  int _sy;
90  int _sz;
91 };
92 
93 //----------------------------------------------------------------------------
94 // DEFINITIONS
95 //----------------------------------------------------------------------------
96 
97 template <typename T>
98 MinSmoothing<T>::MinSmoothing( int sx, int sy, int sz ):
99  _sx(sx), _sy(sy), _sz(sz)
100 {}
101 
102 template <typename T>
104 {}
105 
106 template <typename T>
108  const MinSmoothing<T> & other
109 )
110 {
111  _sx = other._sx;
112  _sy = other._sy;
113  _sz = other._sz;
114  return (*this);
115 }
116 
117 template <typename T>
119 {
120  std::vector<double> amplitude(3,0.);
121  amplitude[0] = .5 * (double)_sx;
122  amplitude[1] = .5 * (double)_sy;
123  amplitude[2] = .5 * (double)_sz;
124  aims::strel::Cube se( amplitude, true );
125  aims::MinFilter<T> f( se );
126  return f.execute( in );
127 }
128 
129 
130 #endif
carto::DataTypeTraits< T >::ChannelType ChannelType
Definition: minfilter.h:48
virtual AimsData< T > doit(const AimsData< T > &in)
Definition: minfilter.h:118
virtual ~MinSmoothing()
Definition: minfilter.h:103
MinFilter< T > * clone() const
ImageAlgorithmInterface<T> Pure virtual method.
Definition: minfilter.h:67
MinFilter(const MinFilter< T > &other)
Definition: minfilter.h:58
virtual AimsData< T > doit(const AimsData< T > &in)
Convenience method that execute the algorithm on the input image.
MinFilter(const carto::Object &options)
Definition: minfilter.h:54
MinSmoothing(int sx=3, int sy=3, int sz=3)
Definition: minfilter.h:98
ElementFilteringImageAlgorithm & operator=(ElementFilteringImageAlgorithm &other)
MinFilter< T > & operator=(const MinFilter< T > &other)
Definition: minfilter.h:62
Object none()
MinFilter(const StructuringElement &se=strel::Cube(1.0), const carto::Object &options=carto::none())
Definition: minfilter.h:49
virtual void execute(const carto::VolumeRef< T > &in, carto::VolumeRef< T > &out) const
ImageAlgorithmInterface<T> Pure virtual method.