Border detection in digital images with a simple cellular automata rule

This pager presents the application of two-dimensional cellular automata to the problem of border detection in digital images. A simple dynamical rule for the cellular automata is proposed that maps on initial configuration representing the original image, to on attractor configuration representing the border of the image. The proposed method is compared, over several example images with three other border detection methods recently reported in the literature. The experiments show on excellent performance regardless of the nature of the image.