Find Corners in Digital Images with FAST-9

An implementation of the "FAST-9" corner detection algorithm explained in the paper 'FASTER and better: A machine learning approach to corner detection' by Rosten E., Porter R. and Drummond T. (2008), available at . The package allows to detect corners in digital images.

image.CornerDetectionF9 - Detect Corners in images

The image.CornerDetectionF9 R package detects corners in images, namely:

• An implementation of the "FAST-9" corner detection algorithm explained at http://www.edwardrosten.com/work/fast.html. The package allows to detect corners in digital images.
• More details in the paper at https://arxiv.org/pdf/0810.2434.pdf

Examples

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

library(pixmap)
library(image.CornerDetectionF9)
imagelocation <- system.file("extdata", "chairs.pgm", package = "image.CornerDetectionF9")
image   <- read.pnm(file = imagelocation, cellres = 1)
x       <- image@grey * 255
corners <- image_detect_corners(x, 100)
plot(image)
points(corners$x, corners$y, col = "red", pch = 20, lwd = 0.5)

Support in image recognition

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