Masters Theses
Feature and color analysis of images of the cervix
Keywords and Phrases
Acetowhite
Abstract
"Cervical cancer is the second most common type of cancer that prevails among women. The death rate due to cervical cancer in developing countries is much more than developed countries due the lack of trained personnel. This thesis discusses techniques investigated to create a fully automated system that aids in detecting cancer. Image matching techniques helps in pairing similar images in the database. Computer-based tools are developed that process the images for enhancement due to conditions such as lighting, and which extract and analyse [sic] key features of the cervix. A very efficient algorithm for segmentation of acetowhite regions is developed"--Abstract, page iii.
Advisor(s)
Stanley, R. Joe
Committee Member(s)
Stoecker, William V.
Moss, Randy Hays, 1953-
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Computer Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2006
Pagination
viii, 59 pages
Rights
© 2006 Shoba Umamaheswaran, All rights reserved.
Document Type
Thesis - Citation
File Type
text
Language
English
Subject Headings
Cervix uteri -- Cancer -- DiagnosisImage analysisPattern recognition systems
Thesis Number
T 9078
Print OCLC #
123568957
Recommended Citation
Umamaheswaran, Shoba, "Feature and color analysis of images of the cervix" (2006). Masters Theses. 5874.
https://scholarsmine.mst.edu/masters_theses/5874
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