Using local structure for the reliable removal of noise from the output of the log edge detector

In this paper a method is suggested for enhancing the performance of the Laplacian-of-Gaussian edge detector by reliably removing false edges that are created by noise from its output. The discrimination between false and valid edges is based on the distance between successive edge contours. Statistical analysis of the performance and simulation results are, also, provided.