Proceedings of the Korean Society of Computer Information Conference (한국컴퓨터정보학회:학술대회논문집)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Using mean shift and self adaptive Canny algorithm enhance edge detection effect

Mean Shift 알고리즘과 Canny 알고리즘을 이용한 에지 검출 향상

  • Lei, Wang (Dept. of Computer Information Engineering, Kunsan National University) ;
  • Shin, Seong-Yoon (Dept. of Computer Information Engineering, Kunsan National University) ;
  • Rhee, Yang-Won (Dept. of Computer Information Engineering, Kunsan National University)
  • ;
  • 신성윤 (군산대학교 컴퓨터정보공학과) ;
  • 이양원 (군산대학교 컴퓨터정보공학과)
  • Published : 2009.01.08
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Abstract

Edge detection is an important process in low level image processing. But many proposed methods for edge detection are not very robust to the image noise and are not flexible for different images. To solve the both problems, an algorithm is proposed which eliminate the noise by mean shift algorithm in advance, and then adaptively determine the double thresholds based on gradient histogram and minimum interclass variance, With this algorithm, it can fade out almost all the sensitive noise and calculate the both thresholds for different images without necessity to setup any parameter artificially, and choose edge pixels by fuzzy algorithm.

Keywords