Modular neural net architecture for one-step thinning algorithm
Jin‐Ho Lee, Dong-Sun Park · 2002
A one-step parallel thinning algorithm using a deletion operator with 25 reference pixels and its neural implementation are presented. The one-step algorithm is an improved version of the previous parallel thinning algorithms in terms of the speed of the thinning process and the quality of thinned results. An efficient 2-layer neural net implementation of the one-step thinning algorithm is presented. The network consists of a module trained with the backpropagation learning rule and modules with hand-crafted weights.