| label {imager} | R Documentation | 
Label connected components.
Description
The algorithm of connected components computation has been primarily done by A. Meijster, according to the publication: 'W.H. Hesselink, A. Meijster, C. Bron, "Concurrent Determination of Connected Components.", In: Science of Computer Programming 41 (2001), pp. 173–194'.
Usage
label(im, high_connectivity = FALSE, tolerance = 0)
Arguments
im | 
 an image  | 
high_connectivity | 
 4(false)- or 8(true)-connectivity in 2d case, and between 6(false)- or 26(true)-connectivity in 3d case. Default FALSE  | 
tolerance | 
 Tolerance used to determine if two neighboring pixels belong to the same region.  | 
Examples
imname <- system.file('extdata/parrots.png',package='imager')
im <- load.image(imname) %>% grayscale
#Thresholding yields different discrete regions of high intensity
regions <- isoblur(im,10) %>% threshold("97%") 
labels <- label(regions)
layout(t(1:2))
plot(regions,"Regions")
plot(labels,"Labels")
[Package imager version 1.0.2 Index]