Linear feature detection from complex scene imagery복잡한 영상으로 부터의 선형 특징 추출

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dc.contributor.advisorSuk, Min-Soo-
dc.contributor.advisor석민수-
dc.contributor.authorSong, Oh-Young-
dc.contributor.author송오영-
dc.date.accessioned2011-12-14T02:20:56Z-
dc.date.available2011-12-14T02:20:56Z-
dc.date.issued1982-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=63389&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/39584-
dc.description학위논문(석사) - 한국과학기술원 : 전기 및 전자공학과, 1982.2, [ [ii], 58, [1] p. ]-
dc.description.abstractLinear feature such as lines and curves are one of important features in image processing. In this thesis, new method of significant linear feature detection is suggested. Also, we studied approximation technique which transforms detected linear feature into data structure suitable to real application. This method is based on graph theory. The basics of this method is minimal spanning tree, which is used in edge linking process. After that processing, hairs and inconsistent line segments are removed. To approximate and describe traced linear feature, piecewise linear approximation is performed. The algorithm is demonstrated through examples.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.titleLinear feature detection from complex scene imagery-
dc.title.alternative복잡한 영상으로 부터의 선형 특징 추출-
dc.typeThesis(Master)-
dc.identifier.CNRN63389/325007-
dc.description.department한국과학기술원 : 전기 및 전자공학과, -
dc.identifier.uid000801137-
dc.contributor.localauthorSuk, Min-Soo-
dc.contributor.localauthor석민수-
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EE-Theses_Master(석사논문)
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