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International Conference on Fuzzy Systems and Knowledge Discovery

FSKD 2005: Fuzzy Systems and Knowledge Discovery pp 524–527Cite as

Multi-criterion Fuzzy Optimization Approach to Imaging from Incomplete Projections

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3614))

Abstract

To enhance resolution and reduce artifacts in imaging from incomplete projections, a novel imaging model and algorithm to imaging from incomplete projections—multi-criterion fuzzy optimization approach is presented. This model combines fuzzy theory and multi-criterion optimization approach. The membership function is used to substitute objective function and the minimum operator is taken as fuzzy operator. And a novel resolution method was proposed. The result reconstructed from computer-generated noisy projection data is shown. Comparison of the reconstructed images indicates that this algorithm gives better results both in resolution and smoothness over analytic imaging algorithm and conventional iterative imaging algorithm.

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References

  1. Gao, X., Xia, S., Wang, Y., Luo, R.: Fast iterative algorithm for image reconstruction from incomplete projections. Journal of Zhejiang University SCIENCE 38(9), 1108–1111 (2004)

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Author information

Authors and Affiliations

  1. College of Biomedical Engineering, Capital University of Medical Sciences, Beijing, 100054, China

    Xin Gao & Shuqian Luo

Authors
  1. Xin Gao
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  2. Shuqian Luo
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Gao, X., Luo, S. (2005). Multi-criterion Fuzzy Optimization Approach to Imaging from Incomplete Projections. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_63

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  • DOI: https://doi.org/10.1007/11540007_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28331-7

  • Online ISBN: 978-3-540-31828-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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