Implementation of the Canny Edge Detector for Images

An implementation of the Canny Edge Detector for detecting edges in images. The package provides an interface to the algorithm available at < https://github.com/Neseb/canny>.

image.CannyEdges - Canny Edge Detector for Images

The image.CannyEdges R package detects edges in images.

• It contains 1 main function image_canny_edge_detector. If you give it an image matrix with grey scale values in the 0-255 range, it will find edges in the image.

Examples

Read in an image with values in the 0-255 range (pgm image: http://netpbm.sourceforge.net/doc/pgm.html)

library(image.CannyEdges)
library(pixmap)
imagelocation <- system.file("extdata", "chairs.pgm", package="image.CannyEdges")
image <- read.pnm(file = imagelocation, cellres = 1)
x <- image@grey * 255

edges <- image_canny_edge_detector(x)
edges
plot(edges)

Installation

The package requires libpng and fftw3 to be installed In Ubuntu this is done as follows

sudo apt-get install libpng-dev fftw3 fftw3-dev

Support in image recognition

Need support in image recognition? Contact BNOSAC: http://www.bnosac.be