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)


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.


Color Image Input Image Correlate Color Temperature Computer Algebra Package Wavelength Axis 
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    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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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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