Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears

dc.contributor.advisorDouglas, Tania Sen_ZA
dc.contributor.authorRussell, Megan Jen_ZA
dc.date.accessioned2014-07-28T18:14:26Z
dc.date.available2014-07-28T18:14:26Z
dc.date.issued2006en_ZA
dc.descriptionIncludes bibliographical references (leaves 89-92).
dc.description.abstractThe World Health Organisation (WHO) has declared that tuberculosis (TB) is a global emergency. With the common combination of TB and AIDS in sub-Saharan Africa, the number of people dying from TB has increased enormously (WHO, 1996). The smart microscope that is under development in the MRC/UCT Medical Imaging Research Unit would considerably aid the fast detection and tracking of TB. The microscope will automatically detect the presence of TB bacilli in Ziehl-Neelsen (ZN) stained sputum smears. The microscope consists of a digital camera, motorised stages, and will have an on-board processor containing the algorithms for autofocusing the microscope and for automatically identifying TB bacteria on the slides. This thesis deals with autofocusing the microscope and segmenting TB bacilli from focused sputum smear images.en_ZA
dc.identifier.apacitationRussell, M. J. (2006). <i>Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears</i>. (Thesis). University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology. Retrieved from http://hdl.handle.net/11427/3198en_ZA
dc.identifier.chicagocitationRussell, Megan J. <i>"Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears."</i> Thesis., University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2006. http://hdl.handle.net/11427/3198en_ZA
dc.identifier.citationRussell, M. 2006. Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Russell, Megan J AB - The World Health Organisation (WHO) has declared that tuberculosis (TB) is a global emergency. With the common combination of TB and AIDS in sub-Saharan Africa, the number of people dying from TB has increased enormously (WHO, 1996). The smart microscope that is under development in the MRC/UCT Medical Imaging Research Unit would considerably aid the fast detection and tracking of TB. The microscope will automatically detect the presence of TB bacilli in Ziehl-Neelsen (ZN) stained sputum smears. The microscope consists of a digital camera, motorised stages, and will have an on-board processor containing the algorithms for autofocusing the microscope and for automatically identifying TB bacteria on the slides. This thesis deals with autofocusing the microscope and segmenting TB bacilli from focused sputum smear images. DA - 2006 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2006 T1 - Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears TI - Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears UR - http://hdl.handle.net/11427/3198 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/3198
dc.identifier.vancouvercitationRussell MJ. Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears. [Thesis]. University of Cape Town ,Faculty of Health Sciences ,Department of Human Biology, 2006 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/3198en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Human Biologyen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMedicineen_ZA
dc.titleAutofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smearsen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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