Cellular neural network scheme for image binarization in video sequence analysis

Abstract

This chapter presents a novel cellular neural network architecture for image binarization in video sequence. The cellular network is part of a neuroinspired system used to detect dynamic objects in video sequences. Among its novelty is that besides binarization it is able to reduce also noise, and its parameters are self-adapted. Qualitative findings are used to show the advantage of using the cellular network.