Volume Segmentation of 3-dimensional Images
| dc.contributor.author | Fiorio, Christophe | |
| dc.contributor.author | Gustedt, Jens | |
| dc.date.accessioned | 2021-12-17T10:05:49Z | |
| dc.date.available | 2021-12-17T10:05:49Z | |
| dc.date.issued | 1996 | |
| dc.description.abstract | We 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.issn | 2197-8085 | |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/15516 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-14289 | |
| dc.language.iso | en | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject.ddc | 510 Mathematik | en |
| dc.subject.other | volume segentation | en |
| dc.subject.other | 3-dimensional images | en |
| dc.subject.other | images | en |
| dc.subject.other | Union-Find | en |
| dc.subject.other | tomography | en |
| dc.title | Volume Segmentation of 3-dimensional Images | en |
| dc.type | Research Paper | en |
| dc.type.version | submittedVersion | en |
| tub.accessrights.dnb | free | en |
| tub.affiliation | Fak. 2 Mathematik und Naturwissenschaften::Inst. Mathematik | de |
| tub.affiliation.faculty | Fak. 2 Mathematik und Naturwissenschaften | de |
| tub.affiliation.institute | Inst. Mathematik | de |
| tub.publisher.universityorinstitution | Technische Universität Berlin | en |
| tub.series.issuenumber | 1996, 515 | en |
| tub.series.name | Preprint-Reihe des Instituts für Mathematik, Technische Universität Berlin | en |