Investigations of Cellular Automata Game of Life Rules for Noise Filtering and Edge Detection
Author(s) -
Michael Peer,
Fasel Qadir,
K. A. Khan
Publication year - 2012
Publication title -
international journal of information engineering and electronic business
Language(s) - English
Resource type - Journals
eISSN - 2074-9023
pISSN - 2074-9031
DOI - 10.5815/ijieeb.2012.02.04
Subject(s) - cellular automaton , computer science , noise (video) , enhanced data rates for gsm evolution , automaton , artificial intelligence , image (mathematics)
In digital image processing, edge detection of images is an important and difficult task. Also, if the images are corrupted by noise, it smears some details and thus resulting in inaccurate edge detection. Hence, a pre-processing step must be taken before the edge detection. In this paper a new approach for edge detection with noise filtering of digital images using Cellular Automata Game of Life is presented. This procedure can easily be generalized and used for any type of digital media. To illustrate the proposed method, some experiments have been performed on standard test images and compared with popular methods. The results reveal that the proposed method has relatively desirable performance.
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