ringBorders {measuRing}

Ring borders

Description

This function can find the ring borders in a gray matrix.

Usage

ringBorders(image, auto.det = TRUE, darker = TRUE, origin = 0, 
    inclu = NULL, exclu = NULL, ...)

Arguments

image

character or matrix. Either path of an image section or an array ##representing a gray matrix.

auto.det

logical. If TRUE the linear detection is implemented (see linearDetect).

darker

logical. If TRUE the algorithm uses the negative extremes on smoothed grays to detect the ring borders. If FALSE the possitive extremes are used.

origin

numeric. an origin in smoothed gray to find the ring borders.

inclu

NULL or vector with column numbers in gray matrix, other than those automatically detected, to be considered as ring borders.If NULL no column numbers are included.

exclu

NULL or vector with column numbers in gray

...

arguments to be passed to imageTogray.

Value

a data frame with the smoothed grays and the identified ring borders (see grayDarker, graySmoothed, and linearDetect).

Author(s)

Wilson Lara, Carlos Sierra, Felipe Bravo

Examples

## (not run) Read one image sample in folder of package
## measuRing:
image1 <- system.file("P105_a.tif", package="measuRing")        
## column numbers in gray matrix to be included/avoided:
Toinc <- c(196,202,387,1564) 
Toexc <- c(21,130,197,207,1444,1484)        
##(not run) the ring borders:
borders <- ringBorders(image1,inclu = Toinc,exclu = Toexc)
str(borders)
##(not run) Plot of smoothed grays with the ring borders:
Smooth <- ts(borders[,1])
inclupix <- subset(borders,borders%in%TRUE)
inclucol <- as.numeric(rownames(inclupix))
xyborders <- data.frame(column=inclucol,smooth=inclupix[,1])
y.lim <- c(-0.05,0.05)
main. <- 'Ring borders'
{plot(Smooth,xlab = 'Column',ylab = 'Smoothed gray',
      main=main.,col = 'darkgoldenrod1')
 points(xyborders[,1],xyborders[,2],pch=19,cex=0.5,col='orangered')}