Linear feature detection from complex scene imagery = 복잡한 영상으로 부터의 선형 특징 추출

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Linear 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.
Advisors
Suk, Min-Soo석민수
Description
한국과학기술원 : 전기 및 전자공학과,
Publisher
한국과학기술원
Issue Date
1982
Identifier
63389/325007 / 000801137
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기 및 전자공학과, 1982.2, [ [ii], 58, [1] p. ]

URI
http://hdl.handle.net/10203/39584
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=63389&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
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