R Graphical Manual

Last data update: 2014.03.03

R: Polynomial estimation of the image noise.

noisepoly2D

R Documentation

Polynomial estimation of the image noise.

Estimation, and noise removal using polynomial model.

noisepoly2D(object, gd = 20, power = 5, col = "green")

`object`	S3 object of the working TLC
`gd`	Defines position of the center of the rectangular samples of the image background (above or bellow located spots).
`power`	Order of the polynome.
`col`	Color of the borders of the rectangles for bkg samples.

Returns S3 object with new variables.

`object$noise_mat`	The 3D matrix (width, height, number of spots)
`object$noise_fit`	Linear model for the polynomial fit
`object$noisefit_spot_sums`	Sums of the noise samples areas

Ivan D. Pavicevic, ivanp84@gmail.com

## Not run: 
#object is a tlc with 14 spots, and selection 50x80(wxh)
object <- noisepoly2D(object, gd=80, power=13)

## End(Not run)