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International Conference Image Analysis and Recognition

ICIAR 2008: Image Analysis and Recognition pp 182–191Cite as

Geometrical Multiscale Noise Resistant Method of Edge Detection

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5112))

Abstract

In the paper the multiscale geometrical noise resistant method of edge detection based on second order wedgelets has been presented. Unlike the other known methods the proposed one can detect arc edges as segments of second degree curves instead of a set of straight lines. Such curve edges are parameterized by only one additional parameter reflecting the curvature of the edge. That approach allows for more compact representation of edges in an image also better reflecting the image geometry than the other well known methods. Thanks to that the new method can be used as the first step in high performance object recognition techniques. The experiments confirmed high effectiveness of the method in edge detection including noisy images.

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Author information

Authors and Affiliations

  1. Institute of Informatics, University of Silesia, ul. Bedzinska 39, 41-200, Sosnowiec, Poland

    Agnieszka Lisowska

Authors
  1. Agnieszka Lisowska
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Editor information

Aurélio Campilho Mohamed Kamel

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© 2008 Springer-Verlag Berlin Heidelberg

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Lisowska, A. (2008). Geometrical Multiscale Noise Resistant Method of Edge Detection. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_18

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  • DOI: https://doi.org/10.1007/978-3-540-69812-8_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69811-1

  • Online ISBN: 978-3-540-69812-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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