A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images
We present two PSO-based algorithms for detecting continuous edges in noisy images. We compare them with a modified version of Canny and a robust rank order algorithm. The proposed algorithms are more robust than Canny and RRO under noisy conditions. The performance of the new algorithms are also compared with each other. The algorithm equipped with a penalising method is more efficient than the other one.
particle swarm optimisation noisy images edge detection impulsive and gaussian noise