Edge Detection Filters Based on Artificial Neural Networks

This paper presents quantitative results on the problem of edge detection using neural network filters. These results are compared with the results provided by the derivative of the Gaussian edge detection filter. A new figure of merit for edge quality, based on Pratt's figure of merit, is introduced. The results displayed in this paper give evidence that neural network edge detection filters can perform better than the linear “optimal” filters.