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Analysis of Moment Invariants on Image Scaling and Rotation

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Innovations in Computing Sciences and Software Engineering

Abstract

Moment invariants have been widely applied to image pattern recognition in a variety of applications due to its invariant features on image translation, scaling and rotation. The invariant properties are strictly invariant for the continuous function. Normally, images in practical applications are discrete. Consequently, the moment invariants may change over image geometric transformation. To address this research problem, an analysis with respect to the variation of moment invariants on image geometric transformation is presented in this paper, i.e., scaling and rotation. The guidance is also provided for minimizing the fluctuation of moment invariants.

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Acknowledgement

Mr Z. Huang, as a visiting fellow at ECU, helped with digital image preparation.

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Authors and Affiliations

  1. School of Computer and Security Science, Edith Cowan University, Joondalup, WA, Australia

    Dongguang Li

Authors
  1. Dongguang Li
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Correspondence to Dongguang Li .

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Editors and Affiliations

  1. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Tarek Sobh

  2. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Khaled Elleithy

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Li, D. (2010). Analysis of Moment Invariants on Image Scaling and Rotation. In: Sobh, T., Elleithy, K. (eds) Innovations in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9112-3_70

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  • DOI: https://doi.org/10.1007/978-90-481-9112-3_70

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9111-6

  • Online ISBN: 978-90-481-9112-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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