Edge detection error in the discrete Laplacian of Gaussian

Abstract

This paper addresses the problem of determining suitable mask values and sizes for the discrete implementation of the Laplacian of Gaussian edge operator. This is achieved by providing a theoretical connection between the mask size and the edge detection error introduced by truncation of the operator. Additionally, the importance of introducing a bias correction within the finite approximation is developed. Experimental results are shown to confirm the theoretical predictions.