Differential evolution for optimizing the hybrid filter combination in image edge enhancement

Authors:
Tirimula Rao Benala;Satchidananda Dehuri;G. S. Surya Vamsi Sirisetti;Aditya Pagadala
Affiliations:
Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India;Department of Information & Communication Technology, Fakir Mohan University, Balasore, India;Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India;Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, Andhra Pradesh, India
Venue:
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Year:
2011

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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.