NAME
get_2D_gaussian_dx_mask  Constructs a 2D Gaussian mask with partial derivative in the xdirection.
SYNOPSIS
#include "m/m_convolve.h"
Example compile flags (system dependent):
DLINUX_X86_64 DLINUX_X86_64_OPTERON DGNU_COMPILER
I/home/kobus/include
L/home/kobus/misc/load/linux_x86_64_opteron L/usr/lib/x86_64linuxgnu
lKJB lfftw3 lgsl lgslcblas ljpeg lSVM lstdc++ lpthread lSLATEC lg2c lacml lacml_mv lblas lg2c lncursesw
int get_2D_gaussian_dx_mask
(
Matrix **mask_mpp,
int num_rows,
int num_cols,
double row_sigma,
double col_sigma
);
PARAMETERS

Matrix **mask_mpp

Output gaussian smoothing mask.

int num_rows

Number of rows in mask.

int num_cols

Number of cols in mask.

double row_sigma

Standard deviation in row direction in bin units.

double col_sigma

Standard deviation in column direction bin units.
DESCRIPTION
This routine constructs a 2D Gaussian mask combined with a partial derivative
in the xdirection, putting the result into *out_mpp.
If the size of the mask is odd, then the center of the Gaussian is in the
center of the mask. If it is even, the the center is as thought the mask was
one larger. If you want a have a mask which contains most of the Gaussian
(excluded values are close to zero), then you need to make the mask size at
least 6 times sigma. Regardless of the size and sigma, the mask is normalized
so that its sum 1.
If *out_vpp is NULL, then a vector of the appropriate size is created, if
it is the wrong size, then it is resized, and if it is the right size, the
storage is recycled.
RETURNS
NO_ERROR on success, and ERROR on failure, with an appropriate error
message being set.
DISCLAIMER
This software is not adequatedly tested. It is recomended that
results are checked independantly where appropriate.
AUTHOR
Kobus Barnard
DOCUMENTER
Kobus Barnard
SEE ALSO
gauss_convolve_matrix
,
convolve_matrix
,
x_convolve_matrix
,
y_convolve_matrix
,
convolve_vector
,
get_2D_gaussian_mask_dispatch
,
get_2D_gaussian_mask
,
get_2D_gaussian_mask_2
,
get_2D_gaussian_dy_mask
,
get_1D_gaussian_mask