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On Modeling Objects Using Sequence of Moment Invariants

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11127))

Abstract

The paper addresses the problem of rotation and translation invariant recognition of objects described by many features. A new set of rotation invariants features are introduced. Numerical experiments are performed to test the invariance for coloured images and chemical compounds. A comparisons with the other methods are made. The obtained results suggest it is worth to explore the proposed method.

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References

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Acknowledgments

This research was partially supported by National Centre of Science (Poland) Grants No. 2016/21/N/ST6/01019.

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Correspondence to Magdalena Wiercioch .

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Wiercioch, M. (2018). On Modeling Objects Using Sequence of Moment Invariants. In: Saeed, K., Homenda, W. (eds) Computer Information Systems and Industrial Management. CISIM 2018. Lecture Notes in Computer Science(), vol 11127. Springer, Cham. https://doi.org/10.1007/978-3-319-99954-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-99954-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99953-1

  • Online ISBN: 978-3-319-99954-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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