Morphological neural networks with applications to image target detection

A practical neural network model for morphological opening and closing filters with its optimal parameters training algorithm is proposed in this paper. For application to motional image target detection, dynamic training algorithm is applied to the designing process using asymptotic shrinking error and appropriate network weights adjusting. Experimental results show that the algorithm has invariant property with respect to shift, scale and rotation of moving target in continuing detection of moving targets.