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

한국컴퓨터정보학회 (Korean Society of Computer Information)
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에지 추출 향상을 위한 Mean Shift 알고리즘의 이용

Using Mean Shift Algorithm Enhance Edge Detection Effect

  • ;
  • 신성윤 (군산대학교 컴퓨터정보공학과) ;
  • 이양원 (군산대학교 컴퓨터정보공학과)
  • 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)
  • 발행 : 2009.01.08
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초록

Edge detection always influenced by noise belong to the original image, therefore need use some methods to sort this issue, mean shift algorithm has the smooth function which suit for the edge detection purpose, so adopted to fade out the unimportant information, and the sensitive noise portions. After this section, use the Canny algorithm to pick up the contour of the objects we focus on, meanwhile select the Soble operator that has the orientation attribute to support the method work well. In final, take experiment and get the perfect result we wanted, make sure this method make sense and better than the sole Edge detection algorithm,

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