Research Article

Article:A Novel Method of Edge Detection using Cellular Automata

by  Tapas Kumar, G. Sahoo
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 9 - Issue 4
Published: November 2010
Authors: Tapas Kumar, G. Sahoo
10.5120/1371-1848
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Tapas Kumar, G. Sahoo . Article:A Novel Method of Edge Detection using Cellular Automata. International Journal of Computer Applications. 9, 4 (November 2010), 38-44. DOI=10.5120/1371-1848

                        @article{ 10.5120/1371-1848,
                        author  = { Tapas Kumar,G. Sahoo },
                        title   = { Article:A Novel Method of Edge Detection using Cellular Automata },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 9 },
                        number  = { 4 },
                        pages   = { 38-44 },
                        doi     = { 10.5120/1371-1848 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A Tapas Kumar
                        %A G. Sahoo
                        %T Article:A Novel Method of Edge Detection using Cellular Automata%T 
                        %J International Journal of Computer Applications
                        %V 9
                        %N 4
                        %P 38-44
                        %R 10.5120/1371-1848
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Edge detection is one of the most commonly used operations in image analysis. Several edge detectors have been proposed in literature for enhancing and detecting of edges. In this paper a new and optimal approach of edge detection based on Cellular Automata (CA) has been proposed. The idea is simple but effective technique for edge detection that greatly improves the performances of complicated images. The comparative analysis of various image edge detection methods is presented and shown that cellular automata based algorithm performs better than all these operators under almost all scenarios.

References
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Edge Detection Image Processing Computation Time

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