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FAST IMAGE MOSAICS ALGORITHM USING PARTICLE SWARM OPTIMIZATION

  • Conference paper
Computational Methods

Abstract

Image mosaic plays an important role in producing panoramic image. We proposed an automated seamless mosaics algorithm. In our proposal, firstly, we use particle swarm optimization (PSO) to find a certain area which contains sufficient objective characters, then we use pattern matching method to search the matching patch in another image and adjust image; at last, we make use of feathering blending to provide a smooth transition between overlapping areas and get automated seamless mosaics of images.

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Author information

Authors and Affiliations

  1. Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, 130012, China

    Y. Zhang, W.H. Li, Y. Meng, Z.J. Tan & Y.J. Pang

Authors
  1. Y. Zhang
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  2. W.H. Li
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  3. Y. Meng
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  4. Z.J. Tan
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  5. Y.J. Pang
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Editor information

Editors and Affiliations

  1. National University of Singapore, Singapore

    G.R. LIU

  2. National University of Singapore, Singapore

    V.B.C. TAN

  3. Hunan University, P.R. China

    X. HAN

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© 2006 Springer

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Zhang, Y., Li, W., Meng, Y., Tan, Z., Pang, Y. (2006). FAST IMAGE MOSAICS ALGORITHM USING PARTICLE SWARM OPTIMIZATION. In: LIU, G., TAN, V., HAN, X. (eds) Computational Methods. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-3953-9_18

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  • DOI: https://doi.org/10.1007/978-1-4020-3953-9_18

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-3952-2

  • Online ISBN: 978-1-4020-3953-9

  • eBook Packages: EngineeringEngineering (R0)

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