International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 118 - Number 17 |
Year of Publication: 2015 |
Authors: Sukriti Mehrotra, Sohini Das, Shilpi Shikha, Chinmoy Kar |
10.5120/20837-3550 |
Sukriti Mehrotra, Sohini Das, Shilpi Shikha, Chinmoy Kar . Comparative Analysis of Traditional Methods with Game of Life in Cellular Automata for Edge Detection. International Journal of Computer Applications. 118, 17 ( May 2015), 18-24. DOI=10.5120/20837-3550
Edge detection is one of the most commonly used operations in image analysis, which is recently receiving much attention. There are various existing traditional edge detectors which are used to estimate edge magnitude and orientation. The concept of Cellular Automata (CA) also has been used for edge detection making the technique more efficient and effective. This paper includes a comparative study of the traditional techniques with the Cellular Automata (CA) technique which is based on rules of Conway's Game of Life (GoL). The comparative analysis is carried out based on a particular set of assumed parameters which are suitable enough to conclude the best performing edge detector