Abstract: Edge detection is a fundamental problem in image analysis. Ant Colony Optimization is also an evolutionary optimization technique, which has been applied to this problem. The proposed ACO-based edge detection algorithm represents the edge pixel position of the image using a pheromone matrix in which the movements of the ants driven by the image’s intensity values are recorded. The RMSE and PSNR Values has been computed of existing algorithm and proposed algorithm with visualization concepts. Series of simulation research demonstrate the feasibility, effectiveness and superior performance of the proposed approach as compared to basic ACO.
Keywords: ACO, Acquaintance, Edges, Pheromone, Shortest path.