Abstract
Image edge enhancement is the art of enhancing the edge of significant objects in an image. The proposed work uses the concept of hybrid filters for edge enhancement whose optimal sequence is to be found by differential evolution. Its unbiased stochastic sampling and bench-mark results in a quite many number of applications ignited us to use for the aforesaid purpose and motivated for further research. The major five mutational variants of differential evolution employing the binomial crossover have been used in the proposed work which and have been tested over both standard images and medical images. Our extensive experimental studies produce encouraging results.
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Benala, T.R., Dehuri, S., Sirisetti, G.S.S.V., Pagadala, A. (2011). Differential Evolution for Optimizing the Hybrid Filter Combination in Image Edge Enhancement. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2011. Lecture Notes in Computer Science, vol 7076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27172-4_5
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DOI: https://doi.org/10.1007/978-3-642-27172-4_5
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