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Corner Detection and Curve Partitioning Using Arc-Chord Distance

  • Majed Marji
  • Reinhard Klette
  • Pepe Siy
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3322)

Abstract

There are several algorithms for curve partitioning using the arc-chord distance formulation, where a chord whose associated arc spans k pixels is moved along the curve and the distance from each border pixel to the chord is computed. The scale of the corners detected by these algorithms depends on the choice of integer k. Without a priori knowledge about the curve, it is difficult to choose a k that yields good results. This paper presents a modified method of this type that can tolerate the effects of an improper choice of k to an acceptable degree.

Keywords

Corner Detection Acceptable Degree Polygonal Approximation Border Point Pattern Recognition Letter 
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 2004

Authors and Affiliations

  • Majed Marji
    • 1
  • Reinhard Klette
    • 2
  • Pepe Siy
    • 1
  1. 1.Daimler Chrysler CorporationAuburn HillsUSA
  2. 2.CITRThe University of AucklandAucklandNew Zealand

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