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Dissimilarity Measures between Gray-Scale Images as a Tool for Performance Assessment

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Performance Characterization in Computer Vision

Part of the book series: Computational Imaging and Vision ((CIVI,volume 17))

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Abstract

The measure of dissimilarity D(A, B) between arbitrary gray-scale images A and B presented in this contribution is useful for a quantitative performance evaluation of image restoration, edge detection, thresholding and segmentation methods, see (Zamperoni and Starovoitov, 1998).

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References

  • Zamperoni, P. and Starovoitov, V. (1996) On measures of dissimilarity between arbitrary grey-scale images, Int. Journal of Shape Modeling, 2: 189–213.

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Author information

Authors and Affiliations

  1. Institut für Nachrichtentechnik, Technische Universität Braunschweig, Braunschweig, Germany

    Piero Zamperoni

Authors
  1. Piero Zamperoni
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Tamaki Campus, The University of Auckland, Private Bag 92019, Auckland, New Zealand

    Reinhard Klette

  2. Cognitive Systems Research Group, Department of Computer Science, University of Hamburg, Hamburg, Germany

    H. Siegfried Stiehl

  3. FB Informatik AB Kognitive Systeme, Universität Hamburg, Vogt-Kölln-Str. 30, D-22527, Hamburg, Germany

    H. Siegfried Stiehl

  4. Image Sciences Institute, University Medical Center Utrecht, E01.334 Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands

    Max A. Viergever  & Koen L. Vincken  & 

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© 2000 Springer Science+Business Media Dordrecht

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Zamperoni, P. (2000). Dissimilarity Measures between Gray-Scale Images as a Tool for Performance Assessment. In: Klette, R., Stiehl, H.S., Viergever, M.A., Vincken, K.L. (eds) Performance Characterization in Computer Vision. Computational Imaging and Vision, vol 17. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9538-4_8

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  • DOI: https://doi.org/10.1007/978-94-015-9538-4_8

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5487-6

  • Online ISBN: 978-94-015-9538-4

  • eBook Packages: Springer Book Archive

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