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Improving reconstructed images using hybridization between local search and harmony search meta-heuristics

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Published:12 July 2014Publication History

ABSTRACT

Image reconstruction from projections in tomography is an ill-posed, inverse problem. This problem is always a challenge because there are no standard methods which give satisfactory results. In this paper we propose hybridization between Local Search (LS) and Harmony Search (HS) metaheuristics to improve quality of reconstructed images. The proposed method is implemented, tested on some images and compared to LS and Filtered backprojection (FBP) methods. The preliminary results are promising and prove the efficiency of our method.

References

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  1. Improving reconstructed images using hybridization between local search and harmony search meta-heuristics

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      • Published in

        cover image ACM Conferences
        GECCO Comp '14: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation
        July 2014
        1524 pages
        ISBN:9781450328814
        DOI:10.1145/2598394

        Copyright © 2014 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 12 July 2014

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        GECCO Comp '14 Paper Acceptance Rate180of544submissions,33%Overall Acceptance Rate1,669of4,410submissions,38%

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