Corner detection in color images by multiscale combination of end-stopped cortical cells

  • Rolf P. Würtz
  • Tino Lourens
Part VI: Speech, Vision, and Pattern Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1327)


We present a corner-detection algorithm based on a model for end-stopping cells in the visual cortex. Shortcomings of this model are overcome by a combination over several scales. The notion of an end-stopped cell and the resulting corner detector is generalized to color channels in a biologically plausible way. The resulting corner detection method yields good results in the presence of high frequency texture, noise, varying contrast, and rounded corners. This compares favorably with known corner detectors.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Rolf P. Würtz
    • 1
  • Tino Lourens
    • 2
  1. 1.Institute for NeurocomputingRuhr-University of BochumGermany
  2. 2.Computing ScienceUniversity of GroningenThe Netherlands

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