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dc.contributor.authorLin, CYen_US
dc.contributor.authorChing, YTen_US
dc.contributor.authorChen, SYJen_US
dc.date.accessioned2019-04-03T06:47:16Z-
dc.date.available2019-04-03T06:47:16Z-
dc.date.issued2001-01-01en_US
dc.identifier.isbn0-8194-4008-6en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://dx.doi.org/10.1117/12.431011en_US
dc.identifier.urihttp://hdl.handle.net/11536/19003-
dc.description.abstractA method was developed for extraction coronary arteries from a contiguous sequence of angiographic images. Since coronary artery in the image usually has poor local contrast and has ribs, spine, and other tissues in the background. We remove the background using the information of temporal continuity. A set of multi-size matched filters process to enhance vessels from poor local contrast. The wavelet transformation based method is then employed to remove noise to enhance the image quality. We also design a stencil mask to remove the stationary tissues further.en_US
dc.language.isoen_USen_US
dc.subjectarteryen_US
dc.subjectangiogramen_US
dc.subjectsegmentationen_US
dc.subjectextractionen_US
dc.titleExtraction of coronary arteries by using a sequence of x-ray angiographic imagesen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1117/12.431011en_US
dc.identifier.journalMEDICAL IMAGING: 2001: IMAGE PROCESSING, PTS 1-3en_US
dc.citation.volume4322en_US
dc.citation.spage1322en_US
dc.citation.epage1328en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000172146600139en_US
dc.citation.woscount0en_US
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