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Industrial Parts Identification by Moment Invariants

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Image Analysis and Processing

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Abstract

This paper is concerned with automatic recognition of industrial parts from optical image. A method is described to recognize objects in a TV-image using moment invariants. Position and rotation of the object are derived from the first and second central moments.

This work has been supported by the National Research Council “Progetto Tecnologie Meccaniche”.

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References

  1. D.A. Ballard, C.M. Brown, “Computer vision”, Prentice Hall, (1982).

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  2. M.K. Hu, “Visual pattern recognition by moment invariants”, IEEE Trans. Inform. Theory, vol. IT-8, Feb. (1962).

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  3. R.C. Gonzales, P. Wintz, “Digital image processing”, Addison-Wesley Publishing Company (1977).

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  4. A. Rosenfeld, A.C. Kak, “Digital picture processing”, Academic Press, (1982).

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  5. S.S. Reddi, “Radial and Angülar Moment Invariants for Image Identification”, IEEE Trans, on Pattern Analysis, vol. PAMI-3 n. 2, Mar. (1981).

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  6. S.H. Dudani, K.J. Breeding, R.B. Mc Ghee, “Aircraft Identification by Moment Invariants”, IEEE Trans, on Computers, vol. C-26, n. 1, Jan. (1977).

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Author information

Authors and Affiliations

  1. I.S.I. - Istituto di Scienza dell’Informazione, Bari, Italy

    L. Caponetti

  2. I.E.S.I. - Istituto Elaborazione Segnali Immagini, Bari, Italy

    A. Distante

Authors
  1. G. Biallo
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  2. L. Caponetti
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  3. A. Distante
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Editor information

Editors and Affiliations

  1. Pavia University, Pavia, Italy

    V. Cantoni

  2. Rome University, Rome, Italy

    S. Levialdi

  3. ELSAG, Genoa, Italy

    G. Musso

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© 1986 Plenum Press, New York

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Biallo, G., Caponetti, L., Distante, A. (1986). Industrial Parts Identification by Moment Invariants. In: Cantoni, V., Levialdi, S., Musso, G. (eds) Image Analysis and Processing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2239-9_28

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  • DOI: https://doi.org/10.1007/978-1-4613-2239-9_28

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9312-5

  • Online ISBN: 978-1-4613-2239-9

  • eBook Packages: Springer Book Archive

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