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Color Differential Structure

  • Bart M. ter Haar Romeny
  • Jan-Mark Geusebroek
  • Peter Van Osta
  • Rein van den Boomgaard
  • Jan J. Koenderink
Conference paper
Part of the Lecture Notes in Computer Science 2106 book series (LNCS, volume 2106)

Abstract

The scale-space approach to the differential structure of color images was recently introduced by Geusebroek et al. [1,2], based on the pioneering work of Koenderink’s Gaussian derivative color model [5]. To master this theory faster, we present the theory as a practical implementation in the computer algebra package Mathematica for the extraction of color differential structure. Many examples are given, the practical code examples enable easy extensive experimentation. High level programming is now fast: all examples run with 5-15 seconds on typical images on a typical modern PC.

Keywords

Color Image Input Image Correlate Color Temperature Computer Algebra Package Wavelength Axis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Geusebroek, J.M., Dev, A., van den Boomgaard, R., Smeulders A.W.M., Cornelissen, F., and Geerts H., Color Invariant edge detection. In: Scale-Space theories in Computer Vision, Lecture Notes in Computer Science, vol. 1252, pp. 459–464, Springer-Verlag, 1999.CrossRefGoogle Scholar
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    Geusebroek, J.M., van den Boomgaard, R., Smeulders A.W.M., and Dev, A., Color and scale: the spatial structure of color images. In: Eur. Conf. on Computer Vision 2000, Lecture Notes in Computer Science, Vol. 1842, Springer, pp. 331–341, June 26-July 1, 2000.CrossRefGoogle Scholar
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    Geusebroek, J.M., Smeulders A.W.M., and van den Boomgaard, R., Measurement of Color Invariants. Proc. CVPR, vol. 1, pp. 50–57, June 13-15, 2000.Google Scholar
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    Hering, E., Outlines of a theory of the light sense, Harvard University Press, Cambridge, 1964.Google Scholar
  5. 5.
    Koenderink, J.J., Color Space. Utrecht University, the Netherlands, 1998.Google Scholar
  6. 6.
    Wyszecki, G., and Stiles, W.S., Color science: concepts and methods, quantitative data and formulae, Wiley, New York, NY, 2nd edition, 2000.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Bart M. ter Haar Romeny
    • 1
  • Jan-Mark Geusebroek
    • 2
  • Peter Van Osta
    • 3
  • Rein van den Boomgaard
    • 2
  • Jan J. Koenderink
    • 4
  1. 1.Image Sciences InstituteUtrecht UniversityThe Netherlands
  2. 2.Intelligent Sensory Information SystemsUniversity of AmsterdamThe Netherlands
  3. 3.Janssen Research FoundationBiological Imaging LaboratoryBeerseBelgium
  4. 4.Dept. Physics of ManThe Netherlands

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