Digital image edge detection using cellular automata

Abstract

Cellular automata is a regular rid of cell and it’s a system which is dynamic in which space and time are discrete. This system consists of 1- dimensional, 2- dimensional, 3- dimensional and so on up to n-dimensional grid of cells. Every transaction state has pre define finite possible states according their transaction function. Any digital image also consider regular grid of cells called pixels, in given paper cellular automata is performed for image processing for the edge detection in digital image. Edges are insensibly variation in pixels intensity values it’s important for objects boundary detection and feature extraction of the image. This paper consider only binary image for the detection of edges and apply objective function for the selection of rule set from the Look up Table.