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Morphological edge detector implemented in Quantum Cellular Automata

  • Orestis Liolis
  • , Vicky S. Kalogeiton
  • , Dim P. Papadopoulos
  • , Georgios Ch Sirakoulis
  • , Vasilios Mardiris
  • , Antonios Gasteratos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Non-linear morphological edge detectors have been proven to be robust in the presence of noise and able to discriminate between edges and regions corrupted by noise. In this paper a novel non-linear morphological edge detector is presented when implemented as a compact circuit on Quantum Cellular Automata (QCA) in crossbar nanoelectronic architecture. The proposed QCA implementation provides high circuit performance, very low dimensions, parallel processing and very low power consumption. Moreover, the presented QCA circuit design obeys with the QCA design rules while focusing on circuit functionality robustness and thereafter provides real time image processing. The corresponding simulation results indicate the efficiency of the proposed circuitry.

Original languageEnglish
Title of host publicationIST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings
Pages406-409
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2013
Externally publishedYes
Event2013 IEEE International Conference on Imaging Systems and Techniques, IST 2013 - Beijing, China
Duration: 22 Oct 201323 Oct 2013

Publication series

NameIST 2013 - 2013 IEEE International Conference on Imaging Systems and Techniques, Proceedings

Conference

Conference2013 IEEE International Conference on Imaging Systems and Techniques, IST 2013
Country/TerritoryChina
CityBeijing
Period22/10/1323/10/13

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