Feature and color analysis of images of the cervix
Keywords and Phrases
"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.
Stanley, R. Joe
Stoecker, William V.
Moss, Randy Hays, 1953-
Electrical and Computer Engineering
M.S. in Computer Engineering
University of Missouri--Rolla
viii, 59 pages
© 2006 Shoba Umamaheswaran, All rights reserved.
Thesis - Citation
Cervix uteri -- Cancer -- Diagnosis
Pattern recognition systems
Print OCLC #
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b5847041~S5
Umamaheswaran, Shoba, "Feature and color analysis of images of the cervix" (2006). Masters Theses. 5874.
Share My Thesis If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.