noisepoly2D {qtlc}

Polynomial estimation of the image noise.

Description

Estimation, and noise removal using polynomial model.

Usage

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

Arguments

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.

Value

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

Author(s)

Ivan D. Pavicevic, [e-mail]

Examples

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

## End(Not run)