noisepoly2D: Polynomial estimation of the image noise.

In qtlc: Densitometric Analysis of Thin-Layer Chromatography Plates

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)

qtlc documentation built on May 1, 2019, 8:45 p.m.