Automatic Parametrization of Edge Detection Algorithms

Selecting the right parameters is a vital issue in image processing algorithms. Normally this is done after experimenting with a limited number of pictures, and then one just hopes that the parameters will work adequately with all the other images. Experimenting with the parameters, however, consumes precious human time. In this paper we present a technique that aims at finding the right parametrization of edge detection algorithms by comparing several approaches and deciding on the optimal one automatically.