imaging::StatisticalRegularization< shape_t > Class Template Reference
[Segmentation Module]
Statistical regularization functional based on an arbitrary shape segmentation functional.
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#include <StatisticalRegularization.hpp>
Public Member Functions | |
| StatisticalRegularization (ShapeEnergyInterface< shape_t > &energy, ShapeStatistics< shape_t > &statistics, float_t alpha) | |
| ublas::vector< float_t > & | current_argument () |
| void | set_argument () |
| float_t | current_energy () const |
| std::size_t | dimension () const |
| const shape_t & | current_shape () const |
Detailed Description
template<class shape_t>
class imaging::StatisticalRegularization< shape_t >
Statistical regularization functional based on an arbitrary shape segmentation functional.
This class implements the following functional:
The Snakes functional reads as follows:
![\[ I_\alpha(p) = F(p) + \alpha d_{\mu, \Sigma}(\mu, p)^2 \,. \]](form_87.png)
Upon construction a StatisticalRegularization object is initialized by
- an arbitrary shape segmentation functional for shapes of type shape_t,
, - the statistics which define the Mahalanobis distance
, and - the regularization parameter
.
Constructor & Destructor Documentation
| imaging::StatisticalRegularization< shape_t >::StatisticalRegularization | ( | ShapeEnergyInterface< shape_t > & | energy, | |
| ShapeStatistics< shape_t > & | statistics, | |||
| float_t | alpha | |||
| ) | [inline] |
Constructs a SnakesEnergy object. The arguments are explained in the class description.
References imaging::StatisticalRegularization< shape_t >::set_argument().
Member Function Documentation
| ublas::vector<float_t>& imaging::StatisticalRegularization< shape_t >::current_argument | ( | ) | [inline, virtual] |
Access the current argument of the energy. In general the user should not resize the current argument!
Implements imaging::EnergyInterface.
| void imaging::StatisticalRegularization< shape_t >::set_argument | ( | ) | [inline, virtual] |
Compute the energy value corresponding to the current argument. This is where the main work of the energy evaluation should be done.
Implements imaging::EnergyInterface.
Referenced by imaging::StatisticalRegularization< shape_t >::StatisticalRegularization().
| float_t imaging::StatisticalRegularization< shape_t >::current_energy | ( | ) | const [inline, virtual] |
Returns the current energy. This function should not actually compute the current energy but return the cached result of the last call to set_argument()!
Implements imaging::EnergyInterface.
| std::size_t imaging::StatisticalRegularization< shape_t >::dimension | ( | ) | const [inline, virtual] |
Returns the dimension the class expects as input data. The function current_argument() will return a vector of this dimension and the user should not change the size of this vector!
Implements imaging::EnergyInterface.
| const shape_t& imaging::StatisticalRegularization< shape_t >::current_shape | ( | ) | const [inline, virtual] |
Returns the current shape. This function should not actually compute the current shape but return the cached result of the last call to set_argument()!
Implements imaging::ShapeEnergyInterface< shape_t >.
The documentation for this class was generated from the following file:
- imaging2/segmentation/StatisticalRegularization.hpp
