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Identification and reconstruction of bullets from multiple x-rays

dc.contributor.advisorMarais, Patricken_ZA
dc.contributor.authorPerkins, Simonen_ZA
dc.date.accessioned2014-08-13T19:34:08Z
dc.date.accessioned2018-11-26T13:53:00Z
dc.date.available2014-08-13T19:34:08Z
dc.date.available2018-11-26T13:53:00Z
dc.date.issued2004en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/6434
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/11427/6434
dc.descriptionBibliography: leaves 83-86.en_ZA
dc.description.abstractThe 3D shape and position of objects inside the human body are commonly detected using Computed Tomography (CT) scanning. CT is an expensive diagnostic option in economically disadvantaged areas and the radiation dose experienced by the patient is significant. In this dissertation, we present a technique for reconstructing the 3D shape and position of bullets from multiple X-rays. This technique makes use of ubiquitous X-ray equipment and a small number of X-rays to reduce the radiation dose. Our work relies on Image Segmentation and Volume Reconstruction techniques.en_ZA
dc.language.isoengen_ZA
dc.subject.otherComputer Scienceen_ZA
dc.titleIdentification and reconstruction of bullets from multiple x-raysen_ZA
dc.typeThesisen_ZA
dc.type.qualificationlevelMastersen_ZA
dc.type.qualificationnameMScen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.departmentDepartment of Computer Scienceen_ZA


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