shiftedPSDuv {AFM} | R Documentation |
Calculate the shifted PSD matrix
Description
shiftedPSDuv
returns the Power Spectral Density matrix in the frequency space from shifted FFT 2D
Usage
shiftedPSDuv(AFMImage)
Arguments
AFMImage |
an |
Value
(1/NM^2) * abs(shiftedFFT2Ddata)^2) with N the number of lines of the sample and M the number of samples per line of the sample
Author(s)
M.Beauvais
Examples
## Not run:
library(AFM)
library(ggplot2)
data(AFMImageOfRegularPeaks)
AFMImage<-AFMImageOfRegularPeaks
nMheightsData= matrix(AFMImage@data$h, nrow=AFMImage@samplesperline)
shiftedPSDuv<-shiftedPSDuv(AFMImage)
a=AFMImage@scansize
b=AFMImage@scansize
M=AFMImage@sampsline
N=AFMImage@lines
NM=N*M # pixels^2
MN = M*N
A=a*b
ab=a*b
dx=a/M
dy=b/N
um = seq( (1-(M+1)/2)/(M*dx), (M-(M+1)/2)/(M*dx), by=1/(M*dx))
vn = seq( (1-(N+1)/2)/(N*dy), (N-(N+1)/2)/(N*dy), by=1/(N*dy))
x = rep(um, times = AFMImage@lines)
y = rep(vn, each = AFMImage@sampsline)
z = as.vector(shiftedPSDuv)
data<-data.frame(x=x, y=y, z=z)
p5 <- qplot(x, y, data=data, colour=log10(z))
p5 <- p5 + scale_colour_gradientn(colours = rainbow(7))
p5 <- p5 + ylab("v")
p5 <- p5 + xlab("u")
title<-paste("shifted PSD of", basename(AFMImage@fullfilename))
p5 <- p5 + ggtitle(title)
# Hide all the horizontal gridlines
p5 <- p5 + theme(panel.grid.minor.x=element_blank(), panel.grid.major.x=element_blank())
# Hide all the vertical gridlines
p5 <- p5 + theme(panel.grid.minor.y=element_blank(), panel.grid.major.y=element_blank())
p5 <- p5 + theme(panel.background = element_rect(fill = 'white', colour = 'black'))
p5
## End(Not run)
[Package AFM version 2.0 Index]