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Contour Objects Recognition Based On UNL-Fourier Descriptors

  • Dariusz Frejlichowski

Abstract

The shape is one of the most popular representations of an object. Algorithms of extracting object’s shape are well known and widely used. Furthermore, there are many descriptors based on information about silhouette. However, there are some problems to overcome, for example noise, occlusion, distortion caused by affine transformations. This paper presents experimental results of applying the UNL-Fourier Descriptors to contour objects. The approach utilizes the transformation from Cartesian to polar coordinates system (it is close to so-called “signatures”) ith normalization, and subsequently, Fourier transform, which can be used to feature reduction. It is worth to note, that the UNL-Fourier Descriptor belongs to larger class of affine invariants.

Key words

Pattern recognition contour objects affine invariants UNL-Fourier transformation 

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References

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    Frejlichowski D 2002. ‘Brief review of aircraft recognition methods’. Proceedings of the 9 th International Conference on Advanced Computer Systems, Szczecin, Poland, pp. 353–364.Google Scholar
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    Rauber T.W. and Steiger-Garcao A.S. 1992. ‘2-D form descriptors based on a normalized parametric polar transform (UNL transform)’. Proc MVA’ 92 IAPR Workshop on Machine Vision Applications, 1992.Google Scholar
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    Wood J. 1996. ‘Invariant pattern recognition: a review’. Pattern Recognition, v. 29 no. 1 pp. 1–17.CrossRefGoogle Scholar
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    Frejlichowski D. 2003. ‘The UNL-transform applied to contour objects’. Proc of International Conference on Computer Information Systems and Industrial Management Applications, Elk, Poland, 2003.Google Scholar

Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Dariusz Frejlichowski
    • 1
  1. 1.Faculty of Computer Science and Information SystemsTechnical University of SzczecinSzczecinPoland

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