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Improvement of Edge Detection Using Mean Shift Algorithm

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(6), pp.59-64
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Seong-Yoon Shin ORD ID 1 Chang Woo Lee 1 Rhee Yang Weon 1

1군산대학교

Accredited

ABSTRACT

Edge detection always influenced by the noise of original image, therefore need some methods to eliminate them in advance, and the Mean Shift algorithm has the smooth function which suit for this purpose, so adopt it to fade out the unimportant information and the sensitive noise portions. Above all, we use the Canny algorithm to pick up the contour of the objects we focus on. And, take tests and get better result than the former sole Canny algorithm. This combination method of Mean Shift algorithm and Canny algorithm is suitable for the edge detection processing.

Citation status

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