Edge Detection in Grayscale Image of Brain MRI with Tumor Cells using Game of Life 
Jasmeena Tariq1, A.Kumaravel2, Fasel Qadir3
1Jasmeena Tariq is a research scholar at, Computer Applications, Bharath Institute of Higher Education and Research, Chennai.
2Dr Kumaravel is working as a Professor and Dean, School of Computing, Bharath University, Chennai.
3Dr. Fasel Qadir is working as Assistant Professor, Department of Computer Science‟s North Campus, Delina University of Kashmir.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 4918-4920 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9111118419/2019©BEIESP | DOI: 10.35940/ijrte.D9111.118419
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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: This paper proposes new algorithm for edge detection in a grayscale image of brain MRI with tumor cells through cellular automata. Edge detection makes detection of tumor cells easier. Applying cellular automata for edge detection makes it very efficient because of its local nature. In Cellular automata filters are used locally to each cell and then it evolves into a more complex form. Due to this property of Cellular Automata it is being widely used in medical image processing. Algorithm presented in this paper is completed with the help of MATLAB2019b. Results from the proposed algorithm are compared with Sobel edge detector (to detect edges it uses simple calculations, but is sensitive to noise).
Keywords: Cellular Automata, Brain Tumor, MRI, Image Processing, Edge Detection, MATLAB, Game Of Life.
Scope of the Article: Image Processing and Pattern Recognition.