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

Two-dimensional separable filter kernels for the second derivative approximation. More...

#include <ltiSecondDerivativeKernels.h>

Inheritance diagram for lti::andoKernelYY< T >:

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Collaboration diagram for lti::andoKernelYY< T >:

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List of all members.

Public Member Functions
	andoKernelYY (const int &size=5)
void	generate (const int &size)

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Detailed Description

template<class T>
class lti::andoKernelYY< T >

Two-dimensional separable filter kernels for the second derivative approximation.

They are found by convolution of two optimal gradient kernels as introduced by Ando. For more details see lti::gradientKernelY.

Kernel sizes 5x5, 7x7 and 9x9 are available.

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

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::andoKernelYY< T >::andoKernelYY

(

const int &

size = 5

)

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 5, 7 or 9. If an invalid value is given, an empty kernel will be created.

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Member Function Documentation

template<class T >

void lti::andoKernelYY< 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:

• ltiSecondDerivativeKernels.h