(1) * El Houssain Ait Mansour Mail (Department of Risks and Prevention, Office of Geophysics and Mines, France)
(2) Francois Bretaudeau Mail (Department of Risks and Prevention, Office of Geophysics and Mines, France)
*corresponding author

Abstract


Most basic and recent image edge detection methods are based on exploiting spatial high-frequency to localize efficiency the boundaries and image discontinuities. These approaches are strictly sensitive to noise, and their performance decrease with the increasing noise level. This research suggests a scheme-based Gaussian filter that employs low-pass filters to reduce noise and gradient image differentiation to perform edge recovery. The results presented illustrate that the proposed approach outperforms the basic method for edge detection. The global scheme may be implemented efficiently with high speed using the proposed novel binomial Gaussian filter.

Keywords


Image edge detection; Gaussian filter; Image processing; Gaussian binomial filter; Algorithm design and analysis

          

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International Journal of Advances in Intelligent Informatics
ISSN 2442-6571  (print) | 2548-3161 (online)
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