제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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An Edge Detection Method by Using Fuzzy 2-Mean Classification and Template Matching

  • Kang, C.C. (Department of Electrical Engineering, National Central University) ;
  • Lee, P.J. (Department of Electronic Engineering, St. John's & St. Mary's Institute of Technology) ;
  • Wang, W.J. (Department of Electrical Engineering, National Central University)
  • Published : 2004.08.25
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Abstract

Based on fuzzy 2-mean classification and template matching method, we propose a new algorithm to detect the edges of an image. In the algorithm, fuzzy 2-mean classification can classify all pixels in the mask into two clusters whatever the mask in the dark or light region; and template matching not only determines the edge's direction, but also thins the detected edge by a set of inference rules and, by the way, reduces the impulse noises.

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