NAME
get_1D_gaussian_mask  Constructs a 1D Gaussian mask
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_1D_gaussian_mask
(
Vector **mask_vpp,
int mask_size,
double sigma
);
PARAMETERS

Vector **mask_vpp

Output gaussian smoothing mask.

int mask_size

Number of elements per axis. Must be odd.

double sigma

Standard deviation in bin units.
DESCRIPTION
This routine constructs a 1D Gaussian mask, putting the result into *out_vpp.
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 center is as though the mask was one
larger. For example, if your mask size is 6, then the center is the third
pixel, which is the same pixel as it it would be if the mask size was 5.
If you want a have a mask which contains most of the Gaussian 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.
TODO
It seems that the handling of even size masks is due to lazy programming.
We might consider making it so that values for the center pair of pixels
are the same, and the true center value is not represented as it is between
them in real valued coordinates.
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_dx_mask
,
get_2D_gaussian_dy_mask