latest version v1.9 - last update 24 Nov 2005

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

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

#include <ltiSecondDerivativeKernels.h>

Inheritance diagram for lti::andoKernelXX< T >:

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

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Detailed Description

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

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

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

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::andoKernelXX< T >::andoKernelXX (  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::andoKernelXX< 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

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