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의료영상 볼륨가시화를 위한 화소 값의 변화도에 따른 적응적 가중치를 적용한 캐트멀-롬 스플라인 보간법

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dc.contributor.author유선국-
dc.date.accessioned2014-12-18T09:25:59Z-
dc.date.available2014-12-18T09:25:59Z-
dc.date.issued2013-
dc.identifier.issn1229-7771-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/88160-
dc.description.abstractIn medical visualization, volume visualization is widely used. Applying 3D images to diagnose requires high resolution and accurately implement visualization techniques are being researched accordingly. However, when a three-dimensional image volume visualization is implemented using volume data, aliasing will occur since using discrete data. Supersampling method, getting lots of samples, is used to reduce artifacts. One of the supersampling methods is Catmull-rom spline. This method calculates accurate interpolation value because it is easy to compute and pass through control points. But, Catmull-rom spline method occurs overshoot or undershoot in large gradient of pixel values. So, interpolated values are different from original signal. In this paper, we propose an adaptive adjusting weights interpolation method using Gaussian function. Proposed method shows that overshoot is reduced on the point has a large gradient and PSNR is higher than other interpolated image results.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfJournal of Korea Multimedia Society (멀티미디어학회논문지)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title의료영상 볼륨가시화를 위한 화소 값의 변화도에 따른 적응적 가중치를 적용한 캐트멀-롬 스플라인 보간법-
dc.title.alternativeAdaptive Weight Adjusted Catmull-Rom Spline Interpolation Based on Pixel Intensity Variation for Medical Imaging Volume Visualization-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Medical Engineering (의학공학)-
dc.contributor.googleauthor이해나-
dc.contributor.googleauthor유선국-
dc.identifier.doi10.9717/kmms.2013.16.2.147-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA02471-
dc.relation.journalcodeJ01476-
dc.identifier.pmidtension control ; interpolation ; medical image analysis ; gaussian distribution-
dc.identifier.urlhttp://dx.doi.org/10.9717/kmms.2013.16.2.147-
dc.subject.keywordtension control-
dc.subject.keywordinterpolation-
dc.subject.keywordmedical image analysis-
dc.subject.keywordgaussian distribution-
dc.contributor.alternativeNameYoo, Sun Kook-
dc.contributor.affiliatedAuthorYoo, Sun Kook-
dc.rights.accessRightsfree-
dc.citation.volume16-
dc.citation.number2-
dc.citation.startPage147-
dc.citation.endPage159-
dc.identifier.bibliographicCitationJournal of Korea Multimedia Society (멀티미디어학회논문지), Vol.16(2) : 147-159, 2013-
dc.identifier.rimsid33097-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers

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