Median-based methods of corner detection

  • E R Davies
Shone Analysis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 301)


This paper examines the ‘local ordered grey-level’ corner detector and compares it with detectors based on second order variations of the intensity function. It finds that the method is essentially identical to the Kitchen and Rosenfeld (KR) detector for slowly varying intensity functions, though it is slower and more susceptible to noise. In many applications these disadvantages can be eliminated by thresholding the local intensity gradient.


Median Filter Intensity Function Vision Graph Corner Detector Horizontal Curvature 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • E R Davies
    • 1
  1. 1.Machine Vision Group, Department of PhysicsRoyal Holloway & Bedford New CollegeEghamUK

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