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Sigmoidal Weighted Vector Directional Filter

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Book cover Computer Vision Systems (ICVS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2626))

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Abstract

In this paper, we provide and analyze a sigmoidal optimization of a recently developed class of weighted vector directional filters (WVDFs) outputting the input multichannel sample associated with the minimum sum of weighted angular distances to other input samples. Because the WVDFs can perform a number of smoothing operations in dependence on the weight coefficients, the aim of this paper is to adapt the WVDF behavior to statistical properties of noise and original color image. The filtering results and the complete analysis of the sigmoidal function based WVDF optimization are also provided.

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References

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Author information

Authors and Affiliations

  1. Slovak Image Processing Center, Jarkova 343, 049 25, Dobsina, Slovak Republic

    Rastislav Lukac

  2. Department of Automatic Control, Silesian University of Technology, Akademicka 16 Str., 44-101, Gliwice, Poland

    Bogdan Smolka

  3. Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, Canada

    Konstantinos N. Plataniotis & Anastasios N. Venetsanopoulos

Authors
  1. Rastislav Lukac
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  2. Bogdan Smolka
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  3. Konstantinos N. Plataniotis
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  4. Anastasios N. Venetsanopoulos
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Editor information

Editors and Affiliations

  1. INRIA Rhône-Alpes, 655 Ave de l’Europe, 38330, Montbonnot, France

    James L. Crowley

  2. Montefiore Institute, University of Liège, 4000, Liège Sart-Tilman, Belgium

    Justus H. Piater

  3. Automation and Control Institute, Vienna University of Technology, Gusshausstraße 27/376, 1040, Vienna, Austria

    Markus Vincze

  4. Institute of Digital Image Processing, Joanneum Research, Wastiangasse 6, 8010, Graz, Austria

    Lucas Paletta

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© 2003 Springer-Verlag Berlin Heidelberg

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Lukac, R., Smolka, B., Plataniotis, K.N., Venetsanopoulos, A.N. (2003). Sigmoidal Weighted Vector Directional Filter. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds) Computer Vision Systems. ICVS 2003. Lecture Notes in Computer Science, vol 2626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36592-3_40

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  • DOI: https://doi.org/10.1007/3-540-36592-3_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00921-4

  • Online ISBN: 978-3-540-36592-1

  • eBook Packages: Springer Book Archive

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