Volume Segmentation of 3-dimensional Images

dc.contributor.authorFiorio, Christophe
dc.contributor.authorGustedt, Jens
dc.date.accessioned2021-12-17T10:05:49Z
dc.date.available2021-12-17T10:05:49Z
dc.date.issued1996
dc.description.abstractWe present a practical method to segment large medical images that takes the whole 3-dimensional structure into account. We use a Union-Find data structure to record and maintain the necessary information during the segmentation process. Due to the large data size, we are forced to divide our process in two parts: a "weak segmentation" of the individual sections and a global integration of all the data. This method shows good results on computer tomographies.en
dc.identifier.issn2197-8085
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/15516
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-14289
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc510 Mathematiken
dc.subject.othervolume segentationen
dc.subject.other3-dimensional imagesen
dc.subject.otherimagesen
dc.subject.otherUnion-Finden
dc.subject.othertomographyen
dc.titleVolume Segmentation of 3-dimensional Imagesen
dc.typeResearch Paperen
dc.type.versionsubmittedVersionen
tub.accessrights.dnbfreeen
tub.affiliationFak. 2 Mathematik und Naturwissenschaften>Inst. Mathematikde
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.instituteInst. Mathematikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen
tub.series.issuenumber1996, 515en
tub.series.namePreprint-Reihe des Instituts für Mathematik, Technische Universität Berlinen
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