Implementation of binary and gray-scale mathematical morphology on the CNN universal machine
Ákos Zarándy, André Stoffels, T. Roska, Leon Ong Chua · IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications · 1998
A cellular neural network(CNN)-based morphological engine is proposed. An effective implementation method of binary and gray-scale erosion, dilation, and reconstruction is introduced. The binary morphological operators are successfully implemented on an actual CNN universal chip. Experimental results are shown.