Discrete‐time cellular neural networks | Zendy

Harrer Hubert | Zendy; Nossek Josef A. | Zendy

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Discrete‐time cellular neural networks

Author(s) -

Harrer Hubert,

Nossek Josef A.

Publication year - 1992

Publication title -

international journal of circuit theory and applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.364

H-Index - 52

eISSN - 1097-007X

pISSN - 0098-9886

DOI - 10.1002/cta.4490200503

Subject(s) - cellular neural network , thresholding , artificial neural network , computer science , template , contouring , convergence (economics) , algorithm , artificial intelligence , topology (electrical circuits) , image (mathematics) , mathematics , computer graphics (images) , combinatorics , economics , programming language , economic growth

A network structure called a discrete‐time cellular neural network is introduced. It is derived from cellular neural networks and feedback threshold networks. the architecture is discussed and its advantages are presented. Convergence is proved for a large class of templates and applications are given for the following image‐processing tasks: linear thresholding, connected component detection, hole filling, concentric contouring, increasing and decreasing objects step by step, searching for objects with minimal distance, and oscillation.

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