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거리변환을 이용한 형태학적 골격화 알고리듬

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dc.contributor.author유선국-
dc.date.accessioned2018-03-26T16:51:42Z-
dc.date.available2018-03-26T16:51:42Z-
dc.date.issued2015-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/156886-
dc.description.abstractSkeletonization is an algorithm to find the skeleton of the center obtain images of the object image. Through a distance of Morphological transformation functions provided in MATLAB and in order to see how to implement the Skeletonization. Programs Sources mathworks and were changed to suit the vascular image analysis modeling to analyze them.-
dc.description.statementOfResponsibilityprohibition-
dc.formatapplication/pdf-
dc.languageKorean-
dc.publisher대한의학영상정보학회-
dc.relation.isPartOfJournal of the Korean Society of Imaging Informatics in Medicine (대한의학영상정보학회지)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title거리변환을 이용한 형태학적 골격화 알고리듬-
dc.title.alternativeUsing Distance Transformation on Morphological Skeletonization Algorithm-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Medical Engineering-
dc.contributor.googleauthor유선국-
dc.contributor.googleauthor강병욱-
dc.contributor.localIdA02471-
dc.relation.journalcodeJ01875-
dc.subject.keywordSkeletonization-
dc.subject.keywordDistance Transformation-
dc.subject.keywordvascular image-
dc.subject.keywordMATLAB-
dc.contributor.alternativeNameYoo, Sun Kook-
dc.contributor.affiliatedAuthorYoo, Sun Kook-
dc.citation.volume21-
dc.citation.startPage12-
dc.citation.endPage15-
dc.identifier.bibliographicCitationJournal of the Korean Society of Imaging Informatics in Medicine (대한의학영상정보학회지), Vol.21 : 12-15, 2015-
dc.identifier.rimsid41195-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
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