Optimizing the morphological design of discrete-time cellular neural networks

Author

ter Brugge, M.H. ; Spaanenburg, L. ; Jansen, WJ ; Nijhuis, J.A.G.

Author_Institution

Dept. of Comput. Sci., Groningen Univ., Netherlands

fYear

1996

Firstpage

339

Lastpage

343

Abstract

The morphological design of discrete-time cellular neural networks (DTCNNs) has been presented in a companion paper (1996). DTCNN templates have been given for the elemental morphological operators. One way to obtain realizations for more complex operators is cascading the DTCNN equivalences of the constituent elemental operators. Here it is shown that this straightforward mapping mostly yields a non-optimal solution with respect to the required amount of hardware. A hardware reduction scheme of morphologically designed DTCNNs is proposed which includes the introduction of time variant templates and the identification of non-elementary expressions for which a single layer DTCNN exists

Keywords

cellular neural nets; computer vision; mathematical morphology; optimisation; discrete-time cellular neural networks; elemental morphological operators; morphological design; nonoptimal solution; templates; Biological neural networks; Cellular neural networks; Design methodology; Design optimization; Equations; Machine vision; Morphology; Neural network hardware; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on

Conference_Location

Seville

Print_ISBN

0-7803-3261-X

Type

conf

DOI

10.1109/CNNA.1996.566597

Filename

566597