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Complex Images and Complex Filters: A Unified Model for Encoding and Matching Shape and Colour

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Advances in Pattern Recognition — ICAPR 2001 (ICAPR 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2013))

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Abstract

In many practical areas of visual pattern recognition the images are complex-valued. Examples include images generated from 2-dimensional colour, motion, radar and laser sensors. To this date the majority of encoding and matching schemes for such images do not treat the complex nature of the data in a unified way but, rather, separate the associated “channels” and combine them after processing each image attribute. In this paper we describe a technique which utilizes properties of the complex Fourier transform of complex images and develop new types of complex filters for colour and shape specific feature extraction and pattern matching. Results are encouraging particularly under quite noisy conditions.

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Author information

Authors and Affiliations

  1. Department of Computing Science, The University of Alberta, T6G 2H1, Edmonton, Canada

    Terry Caelli & Andrew McCabe

Authors
  1. Terry Caelli
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  2. Andrew McCabe
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Exeter, EX4 4PT, Exeter, UK

    Sameer Singh

  2. Computational Intelligence Group, Tuiuti University of Parana, Curitiba, Brazil

    Nabeel Murshed

  3. Institute of Computer Aided Automation PRIP-Group 1832, Vienna University of Technology, Favoritenstr. 9/2/4, 1040, Wien, Austria

    Walter Kropatsch

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© 2001 Springer-Verlag Berlin Heidelberg

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Caelli, T., McCabe, A. (2001). Complex Images and Complex Filters: A Unified Model for Encoding and Matching Shape and Colour. In: Singh, S., Murshed, N., Kropatsch, W. (eds) Advances in Pattern Recognition — ICAPR 2001. ICAPR 2001. Lecture Notes in Computer Science, vol 2013. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44732-6_33

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  • DOI: https://doi.org/10.1007/3-540-44732-6_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41767-5

  • Online ISBN: 978-3-540-44732-0

  • eBook Packages: Springer Book Archive

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