Nonlinear analog networks for image smoothing and segmentation

A. Lumsdaine, J. Wyatt, I. Elfadel

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations

Abstract

Image smoothing and segmentation algorithms are frequently formulated as optimization problems. Linear and nonlinear (reciprocal) resistive networks have solutions characterized by an extremum principle. Thus, appropriately designed networks can automatically solve certain smoothing and segmentation problems in robot vision. Switched linear resistive networks and nonlinear resistive networks are considered for such tasks. Some fundamental theorems and simulation results are provided.

Original languageBritish English
Pages (from-to)987-991
Number of pages5
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume2
StatePublished - 1990
Event1990 IEEE International Symposium on Circuits and Systems Part 3 (of 4) - New Orleans, LA, USA
Duration: 1 May 19903 May 1990

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