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Scale-Based Corner Extraction of a Contour Figure Using a Crystalline Flow

  • Hidekata Hontani
  • Koichiro Deguchi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2616)

Abstract

We propose a scale-based method for extracting corners from a given polygonal contour figure. A crystalline flow is introduced to represent geometric features in a scale-space. It is an extension of a usual curvature flow. A special class of polygonal contours is evolved based on the nonlocal curvature. The nonlocal curvature is determined for each facet by its length. In the crystalline flow, a given polygon remains polygonal through the evolving process. Different from a usual curvature flow, it is easy to track a facet in a given polygon through the evolution. This aspect helps us to extract a set of dominant corners. Experimental results show that our method extracts a set of dominant corner facets successfully from a given contour figure.

Keywords

Transition Number Initial Contour Base Scale Polygonal Curve Dominant Facet 
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 2003

Authors and Affiliations

  • Hidekata Hontani
    • 1
  • Koichiro Deguchi
    • 2
  1. 1.Department of InformaticsYamagata UniversityYonezawa, YamagataJapan
  2. 2.Graduate School of Information SciencesTohoku UniversityAoba-ku, SendaiJapan

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