Digital Image Edge Detection Using Cellular Automata
Parul Kundra1, Hari Mohan Singh2, Vinod Kumar3, Pooja Juneja4
1Parul Kundra, Department of Computer Science and IT, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad.
2Hari Mohan Singh, Department of Computer Science and IT, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad.
3Vinod Kumar, MCA, Department, ABES Engineering College, Ghaziabad.
Manuscript received on 15 May 2019 | Revised Manuscript received on 22 May 2019 | Manuscript Published on 02 June 2019 | PP: 332-337 | Volume-8 Issue-7S2 May 2019 | Retrieval Number: G10580587S219/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cellular automata is a regular rid of cell and it’s a system which is dynamic in which space and time are discrete. This system consists of 1- dimensional, 2- dimensional, 3- dimensional and so on up to n-dimensional grid of cells. Every transaction state has pre define finite possible states according their transaction function. Any digital image also consider regular grid of cells called pixels, in given paper cellular automata is performed for image processing for the edge detection in digital image. Edges are insensibly variation in pixels intensity values it’s important for objects boundary detection and feature extraction of the image. This paper consider only binary image for the detection of edges and apply objective function for the selection of rule set from the Look up Table.
Keywords: Cellular Automata, Image Denoising, Image Processing, Rule Selection.
Scope of the Article: Computer Science and Its Applications