대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

퍼지란삭을 이용한 미소 거리 측정 알고리즘 개발

Development of a Microscopic Gap Measuring Algorithm with a Fuzzy-RANSAC

  • 김재훈 (국립창원대학교 전기공학과) ;
  • 박승규 (국립창원대학교 전기공학과) ;
  • 윤태성 (국립창원대학교 전기공학과)
  • Kim, Jae-Hoon (Department of Electrical Engineering, Changwon National University) ;
  • Park, Seung-Kyu (Department of Electrical Engineering, Changwon National University) ;
  • Yoon, Tae-Sung (Department of Electrical Engineering, Changwon National University)
  • 발행 : 2008.07.16
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초록

In this study, an image processing method with FRANSAC(Fuzzy RANSAC) is presented and discussed for the development of a microscopic gap measuring algorithm. Many problems in edge detection processing are mainly occurred by the illumination system. A serious problem is that the edge set of gap could include the error elements that have relatively larger error than normal. This problem leads to a incorrect measurement of gap. We present a gap measuring algorithm using FRANSAC[1] that is a representative robust estimation algorithm. FRANSAC is peformed by first categorizing all data into good sample set, bad sample set and vague sample set using a fuzzy classification and then sampling in only good sample set. Experimental results show that the presented gap measuring algorithm gives a higher accurate value of gap especially for the more noisy image data.

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