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).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Recent Technology and Engineering (IJRTE)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
