An edge detection method using outer totalistic cellular automata

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dc.contributor.authorAmrogowicz, Sebastian
dc.contributor.authorZhao, Yitian
dc.contributor.authorZhao, Yifan
dc.date.accessioned2016-07-06T12:11:25Z
dc.date.available2016-07-06T12:11:25Z
dc.date.issued2016-05-20
dc.description.abstractA number of Cellular Automata (CA)-based edge detectors have been developed recently due to the simplicity of the model and the potential for simultaneous removal of different types of noise in the process of detection. This paper introduced a novel edge detector using Outer Totalistic Cellular Automata. Its performance has been compared with other recently developed CA-based edge detectors, in addition to some classic methods, through testing images from a public library. Visual and quantitative measurement of similarity with manually marked correct edges confirmed the superiority of the proposed method over conventional and state-of-the-art CA-based edge detectors.en_UK
dc.identifier.citationSebastian Amrogowicz, Yitian Zhao, Yifan Zhao, An edge detection method using Outer totalistic cellular automata, Neurocomputing, Vol 214, 19 November 2016, pp.643-653en_UK
dc.identifier.issn0925-2312
dc.identifier.urihttp://dx.doi.org/10.1016/j.neucom.2016.05.092
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10098
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCellular Automataen_UK
dc.subjectEdge detectionen_UK
dc.subjectFigure of meriten_UK
dc.subjectTotalistic Cellular Automataen_UK
dc.titleAn edge detection method using outer totalistic cellular automataen_UK
dc.typeArticleen_UK

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