Adaptive resonance theory and self-organizing morphological kernels
John Phillip Sharpe, N. Sungar, Kristina M. Johnson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
In this paper we describe our recent work developing automated methods for generation of kernels or structuring elements for use in the hit-or-miss transform. We show how a neural network algorithm (Fuzzy Adaptive Resonance Theory) generates hit and miss structuring elements that can be used with a fuzzy morphology to detect a class of objects and we illustrate with computer simulations.