mitkFootprint2DGaussian Class Reference

mitkFootprint2DGaussian - concrete class for two dimensional footprint with Gaussian kernel More...

#include <mitkFootprint2DGaussian.h>

Inherits mitkFootprint2D.

Inheritance diagram for mitkFootprint2DGaussian:

[legend]Collaboration diagram for mitkFootprint2DGaussian:

[legend]List of all members.

Public Member Functions
virtual void	PrintSelf (ostream &os)
	mitkFootprint2DGaussian ()
void	SetCoefficient (float coeff)
void	SetVarianceMatrix (float vmatrix[4])
void	SetAdjustRadii (float adjustradii)
float	GetCoefficient ()
void	GetVarianceMatrix (float vmatrix[4])
float	GetAdjustRadii ()
virtual float *	EncodeFootprintTable ()
virtual float	DecodeFootprintTable (float x, float y)

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Detailed Description

mitkFootprint2DGaussian - concrete class for two dimensional footprint with Gaussian kernel

mitkFootprint2DGaussian is a concrete class to encode and decode two dimensional footprint table using Gaussian kernel. The Gaussian footprint function is as follows: footprint(x,y) = coeff * exp{-[(x,y) * F^(-1) * (x,y)']/adjustradii} , where "coeff" is the weight coefficient, adjustradii is the adjust radii coefficient, _ _ | vmatrix[0] vmatrix[2] | and "F" is the variance matrix = | | |_ vmatrix[1] vmatrix[3] _| the code snippet to use this class is:

    mitkFootprint2DGaussian *footprint = new mitkFootprint2DGaussian;
    footprint->SetCoefficient(coeff);
    footprint->SetAdjustRadii(adjustradii);
    footprint->SetVarianceMatrix(vmatrix);
    footprint->SetExtent(ex, ey);
    footprint->SetSampleNumber(numx, numy);
    table = footprint->EncodeFootprintTable();
    .....
    if(table)
      { value = footprint->DecodeFootprintTable(x, y); }

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Constructor & Destructor Documentation

mitkFootprint2DGaussian::mitkFootprint2DGaussian (   )

Constructor of the class

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Member Function Documentation

virtual float mitkFootprint2DGaussian::DecodeFootprintTable (  float  x, float  y )  [virtual]

Decode the footprint table. Parameters: x  Coordinate value in horizon axis. y  Coordinate value in vertical axis. Returns: Return the corresponding value in the footprint table. Reimplemented from mitkFootprint.

virtual float* mitkFootprint2DGaussian::EncodeFootprintTable (   )  [virtual]

Encode the footprint table. Returns: Return the entry of the footprint table. Reimplemented from mitkFootprint.

float mitkFootprint2DGaussian::GetAdjustRadii (   )  [inline]

Get the adjust radii coefficient of Gaussian kernel. Returns: Return the adjust radii coefficient of Gaussian kernel.

float mitkFootprint2DGaussian::GetCoefficient (   )  [inline]

Get the weight coefficient of Gaussian kernel. Returns: Return the weight coefficient of Gaussian kernel.

void mitkFootprint2DGaussian::GetVarianceMatrix (  float  vmatrix[4]  )

Get the variance matrix of Gaussian kernel. Parameters: vmatrix[0]  Element of variance matrix at (row, column) = (0, 0). vmatrix[1]  Element of variance matrix at (row, column) = (1, 0). vmatrix[2]  Element of variance matrix at (row, column) = (0, 1). vmatrix[3]  Element of variance matrix at (row, column) = (1, 1).

virtual void mitkFootprint2DGaussian::PrintSelf (  ostream &  os  )  [virtual]

Print the necessary information about this object for the debugging purpose. Parameters: os  The specified ostream to output information. Reimplemented from mitkFootprint2D.

void mitkFootprint2DGaussian::SetAdjustRadii (  float  adjustradii  )  [inline]

Set the adjust radii coefficient of Gaussian kernel. Parameters: adjustradii  The adjust radii coefficient of Gaussian kernel.

void mitkFootprint2DGaussian::SetCoefficient (  float  coeff  )  [inline]

Set the weight coefficient of Gaussian kernel. Parameters: coeff  The weight coefficient of Gaussian kernel.

void mitkFootprint2DGaussian::SetVarianceMatrix (  float  vmatrix[4]  )

Set the variance matrix of Gaussian kernel. Parameters: vmatrix[0]  Element of variance matrix at (row, column) = (0, 0). vmatrix[1]  Element of variance matrix at (row, column) = (1, 0). vmatrix[2]  Element of variance matrix at (row, column) = (0, 1). vmatrix[3]  Element of variance matrix at (row, column) = (1, 1).

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

• mitkFootprint2DGaussian.h

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