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

Includes bibliographical references (leaves 89-92).

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Bibliographic Details
Main Author: Russell, Megan J
Other Authors: Douglas, Tania S
Format: Thesis
Language:English
Published: Department of Human Biology 2014
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access_status_str Open Access
author Russell, Megan J
author2 Douglas, Tania S
author_browse Douglas, Tania S
Russell, Megan J
author_facet Douglas, Tania S
Russell, Megan J
author_sort Russell, Megan J
collection Thesis
description Includes bibliographical references (leaves 89-92).
format Thesis
id oai:open.uct.ac.za:11427/3198
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:30.019Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Human Biology
publisherStr Department of Human Biology
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/3198 Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears Russell, Megan J Douglas, Tania S Medicine Includes bibliographical references (leaves 89-92). 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. 2014-07-28T18:14:26Z 2014-07-28T18:14:26Z 2006 Master Thesis Masters MSc http://hdl.handle.net/11427/3198 eng application/pdf Department of Human Biology Faculty of Health Sciences University of Cape Town
spellingShingle Medicine
Russell, Megan J
Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears
thesis_degree_str Master's
title Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears
title_full Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears
title_fullStr Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears
title_full_unstemmed Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears
title_short Autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears
title_sort autofocusing and image segmentation in microscopy for automatic detection of tuberculosis in sputum smears
topic Medicine
url http://hdl.handle.net/11427/3198
work_keys_str_mv AT russellmeganj autofocusingandimagesegmentationinmicroscopyforautomaticdetectionoftuberculosisinsputumsmears