Milena (Olena)
User documentation 2.0a Id
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Namespace of linear image processing routines. More...
Namespaces | |
namespace | impl |
Namespace of linear image processing routines implementation details. | |
namespace | local |
Specializations of local linear routines. | |
Functions | |
template<typename I > | |
mln::trait::concrete< I >::ret | gaussian (const Image< I > &input, float sigma) |
Gaussian filter of an image input . | |
template<typename I > | |
mln::trait::concrete< I >::ret | gaussian (const Image< I > &input, float sigma, int dir) |
template<typename I > | |
mln::trait::concrete< I >::ret | gaussian_1st_derivative (const Image< I > &input, float sigma, int dir) |
template<typename I > | |
mln::trait::concrete< I >::ret | gaussian_2nd_derivative (const Image< I > &input, float sigma, int dir) |
template<typename I > | |
mln::trait::concrete< I >::ret | gaussian_2nd_derivative (const Image< I > &input, float sigma) |
template<typename I , typename W , unsigned Sh, unsigned Sv> | |
mln_ch_convolve (I, W) convolve_2x1d(const Image< I > &input | |
template<typename I , typename W > | |
mln_ch_convolve (I, W) convolve(const Image< I > &input = convolve(input, w_win) | |
template<typename I , typename W , unsigned S> | |
mln_ch_convolve (I, W) convolve_directional(const Image< I > &input | |
template<typename I > | |
mln_ch_convolve_grad (I, int) sobel_2d(const Image< I > &input) | |
Compute the vertical component of the 2D Sobel gradient. | |
template<typename I > | |
mln_ch_convolve (I, int) sobel_2d_h(const Image< I > &input) | |
Sobel_2d gradient components. | |
Namespace of linear image processing routines.
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inline |
Gaussian filter of an image input
.
Apply an approximated gaussian filter of sigma
on input
. This filter is applied in all the input image direction.
Definition at line 750 of file gaussian.hh.
References mln::initialize().
Referenced by mln::subsampling::gaussian_subsampling().
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inline |
Apply an approximated gaussian filter of sigma
on input
. on a specific direction dir
if dir
= 0, the filter is applied on the first image dimension. if dir
= 1, the filter is applied on the second image dimension. And so on...
Definition at line 653 of file gaussian.hh.
References mln::initialize().
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inline |
Apply an approximated first derivative gaussian filter of sigma
on input
. on a specific direction dir
if dir
= 0, the filter is applied on the first image dimension. if dir
= 1, the filter is applied on the second image dimension. And so on...
Definition at line 685 of file gaussian.hh.
References mln::initialize().
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inline |
Apply an approximated second derivative gaussian filter of sigma
on input
. on a specific direction dir
if dir
= 0, the filter is applied on the first image dimension. if dir
= 1, the filter is applied on the second image dimension. And so on...
Definition at line 718 of file gaussian.hh.
References mln::initialize().
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inline |
Apply an approximated second derivative gaussian filter of sigma
on input
This filter is applied in all the input image direction.
Definition at line 807 of file gaussian.hh.
References mln::initialize().
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inline |
Sobel_2d gradient components.
Compute the L1 norm of the 2D Sobel gradient.
Compute the vertical component of the 2D Sobel gradient.
Compute the horizontal component of the 2D Sobel gradient.
Definition at line 70 of file lap.hh.
References mln_ch_convolve(), and mln::make::w_window2d().
mln::linear::mln_ch_convolve | ( | I | , |
W | |||
) | const |
Convolution of an image input
by two weighted line-shapes windows.
mln::linear::mln_ch_convolve | ( | I | , |
W | |||
) | const = convolve(input, w_win) |
Convolution of an image input
by the weighted window w_win
.
\warning Computation of \p output(p) is performed with the value type of \p output. \warning The weighted window is used as-is, considering that its symmetrization is handled by the client. \pre input.is_valid
Referenced by mln_ch_convolve(), and mln_ch_convolve_grad().
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inline |
Convolution of an image input
by a line-shaped (directional) weighted window defined by the array of weights
.
output(p)
is performed with the value type of output
.mln::linear::mln_ch_convolve_grad | ( | I | , |
int | |||
) | const |
Compute the vertical component of the 2D Sobel gradient.
Definition at line 124 of file sobel_2d.hh.
References mln_ch_convolve(), and mln::data::transform().