build.gaus: Build 2D Gaussian Image (Matrix)
In imagefx: Extract Features from Images

Description Usage Arguments Details Value Author(s) Examples

Build a 2-dimensional Gaussian matrix for filtering, correlations, data testing, or other various uses.

1	build.gaus(xdim, ydim, sig.x, sig.y, x.mid, y.mid)

`xdim`	size in the x dimension
`ydim`	size in the y dimension
`sig.x`	Gaussian sqrt(variance) in x direction
`sig.y`	Gaussian sqrt(variance) in y direction. Defaults to `sig.x` if undefined
`x.mid`	peak location in x direction
`y.mid`	peak location in the y direction

Note that if xdim or ydim are even and x.mid and y.mid are left undefined, the Gaussian peak will be off center. This can be a problem when using a Gaussian matrix for multiple filtering operations.

matrix with values corresponding to values in the 2D Gaussian.

Alex J.C. Witsil

############
### EG 1 ###
############

## define the dimensions of the gaussian image (matrix)
xdim=101
ydim=101

## sigma in the x direction.  The y sigma defaults to the sig.x if not supplied
sig.x=5

## build the first example
gaus1 <- build.gaus(xdim,ydim,sig.x)


###################
## PLOTTING EG 1 ##
###################
image(1:nrow(gaus1),1:ncol(gaus1),useRaster=TRUE,gaus1)


############
### EG 2 ###
############

## define the dimensions of the gaussian image (matrix)
xdim=101
ydim=201

## define a sigma in the both the x and y direction
sig.y=5
sig.y=20

## define the center (peak) location of the guassian
x.mid = 30
y.mid = 120

## now build the gaussian
gaus2 <- build.gaus(xdim,ydim,sig.x,sig.y,x.mid,y.mid)

##################
## PLOTTING EG2 ##
##################
image(1:nrow(gaus2),1:ncol(gaus2),useRaster=TRUE,gaus2)