lti::gradientKernelX< T > Class Template Reference
[Linear filtering]

Two-dimensional separable filter kernels for the gradient approximation. More...

#include <ltiGradientKernels.h>

Inheritance diagram for lti::gradientKernelX< T >:

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Collaboration diagram for lti::gradientKernelX< T >:

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List of all members.

Public Member Functions
	gradientKernelX (const int &size=3)
void	generate (const int &size)

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Detailed Description

template<class T>
class lti::gradientKernelX< T >

Two-dimensional separable filter kernels for the gradient approximation.

This class will create a two-dimensional gradient filter kernel.

There are three posibilities for the kernel dimensions 3x3, 4x4 or 5x5. The approximation is done using the suggestions of Ando in its paper "Consistent Gradient Operators" (IEEE PAMI, Vol. 22, No. 3, March 2000)

These suggested kernels are separable and are of course implemented that way (much faster!)

This object will correspond to the derivative respect the x-Axis. For the y-Axis just exchange the 1D filter kernels, or use the lti::gradientKernelY.

The template parameter T should be the same as the value_type of the matrix or channel to be filtered (channel::value_type, double, etc.)

It is recomended to use this kernels with floating point matrices or channels, due to precision aspects.

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Constructor & Destructor Documentation

template<class T >

lti::gradientKernelX< T >::gradientKernelX

(

const int &

size = 3

)

constructor

Parameters:

size

is the dimension of the one dimensional part (i.e. the filter kern is a size x size kernel!) The valid values are 3, 4 or 5. If an invalid value is given, an empty kernel will be created.

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Member Function Documentation

template<class T >

void lti::gradientKernelX< T >::generate

(

const int &

size

)

initialize this kernel with the specified values

Parameters:

size

size of the kernel in one dimension

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

• ltiGradientKernels.h