Contribution of Canny-Deriche filter and artificial neural networks to image segmentation

In this paper, an image segmentation method based on an edge detection view is presented. This method uses the contribution of two approaches: the optimal edge detector proposed by J. Canny, and then extended to the optimal recursive filter by R. Deriche; and the artificial neural network approach. Combining these two methods, the hysteresis stage needed in the technique developed by Deriche is avoided without damaging the segmentation result. Therefore, thresholds required in hysteresis phase and, which are usually quite difficult to find are no more needed. Experimental results show the validity of this method.<<ETX>>